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Photo Editors Archives - Malik Softs

Photo Editors Archives - Malik Softs

Editing on the film began when shooting started, which was in the spring of Editing continued until we has a soft lock at the end of. Unsplash is a website dedicated to sharing stock photography under the Unsplash license. Due to the volume of photo submissions, the site employs an editorial. Malik Harris New Haven Promise Fellow Development Editor and Publications Manager +1 2 Reference Library and Photograph Archives.

Photo Editors Archives - Malik Softs - words... super

The MS Word utility from Microsoft Office suite is one of the most commonly used tools for writing text documents, both simple and complex. Though humans can easily read and write MS Word documents, assuming you have the Office software installed, often times you need to read text from Word documents within another application.

For instance, if you are developing a natural language processing application in Python that takes MS Word files as input, you will need to read MS Word files in Python before you can process the text. Similarly, often times you need to write text to MS Word documents as output, which could be a dynamically generated report to download, for example.

In this article, article you will see how to read and write MS Word files in Python.

Installing Python-Docx Library

Several libraries exist that can be used to read and write MS Word files in Python. However, we will be using the python-docx module owing to its ease-of-use. Execute the following command in your terminal to download the module as shown below:

Reading MS Word Files with Python-Docx Module

In this section, you will see how to read text from MS Word files via the module.

Create a new MS Word file and rename it as "my_word_mlbjerseyschina.us". I saved the file in the root of my "E" directory, although you can save the file anywhere you want. The my_word_mlbjerseyschina.us file should have the following content:

To read the above file, first import the module and then create an object of the class from the module. Pass the path of the my_word_mlbjerseyschina.us to the constructor of the class, as shown in the following script:

The class object can now be used to read the content of the my_word_mlbjerseyschina.us

Reading Paragraphs

Once you create an object of the class using the file path, you can access all the paragraphs in the document via the attribute. An empty line is also read as a paragraph by the . Let's fetch all the paragraphs from the my_word_mlbjerseyschina.us and then display the total number of paragraphs in the document:

Output:

Now we'll iteratively print all the paragraphs in the my_word_mlbjerseyschina.us file:

Output:

The output shows all of the paragraphs in the Word file.

We can even access a specific paragraph by indexing the property like an array. Let's print the 5th paragraph in the file:

Output:

Reading Runs

A run in a word document is a continuous sequence of words having similar properties, such as similar font sizes, font shapes, and font styles. For example, if you look at the second line of the my_word_mlbjerseyschina.us, it contains the text "Welcome to mlbjerseyschina.us", here the text "Welcome to" is in plain font, while the text "mlbjerseyschina.us" is in bold face. Hence, the text "Welcome to" is considered as one run, while the bold faced text "mlbjerseyschina.us" is considered as another run.

Similarly, "Learn to program and write code in the" and "most efficient manner" are treated as two different runs in the paragraph "Learn to program and write code in the most efficient manner".

To get all the runs in a paragraph, you can use the property of the attribute of the object.

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Let's read all the runs from paragraph number 5 (4th index) in our text:

Output:

In the same way, the following script prints all the runs from the 6th paragraph of the my_word_mlbjerseyschina.us file:

Output:

Writing MS Word Files with Python-Docx Module

In the previous section, you saw how to read MS Word files in Python using the module. In this section, you will see how to write MS Word files via the module.

To write MS Word files, you have to create an object of the class with an empty constructor, or without passing a file name.

Writing Paragraphs

To write paragraphs, you can use the method of the class object. Once you have added a paragraph, you will need to call the method on the class object. The path of the file to which you want to write your paragraph is passed as a parameter to the method. If the file doesn't already exist, a new file will be created, otherwise the paragraph will be appended at the end of the existing MS Word file.

The following script writes a simple paragraph to a newly created MS Word file named "my_written_mlbjerseyschina.us".

Once you execute the above script, you should see a new file "my_written_mlbjerseyschina.us" in the directory that you specified in the method. Inside the file, you should see one paragraph which reads "This is first paragraph of a MS Word file."

Let's add another paragraph to the my_written_mlbjerseyschina.us:

This second paragraph will be appended at the end of the existing content in my_written_mlbjerseyschina.us

Writing Runs

You can also write runs using the module. To write runs, you first have to create a handle for the paragraph to which you want to add your run. Take a look at the following example to see how it's done:

In the script above we write a paragraph using the method of the class object . The method returns a handle for the newly added paragraph. To add a run to the new paragraph, you need to call the method on the paragraph handle. The text for the run is passed in the form of a string to the method. Finally, you need to call the method to create the actual file.

You can also add headers to MS Word files. To do so, you need to call the method. The first parameter to the method is the text string for header, and the second parameter is the header size. The header sizes start from 0, with 0 being the top level header.

The following script adds three headers of level 0, 1, and 2 to the file my_written_mlbjerseyschina.us:

Adding Images

To add images to MS Word files, you can use the method. The path to the image is passed as a parameter to the method. You can also specify the width and height of the image using the attribute. The following script adds an image from the local file system to the my_written_mlbjerseyschina.us Word file. The width and height of the image will be 5 and 7 inches, respectively:

After executing all the scripts in the Writing MS Word Files with Python-Docx Module section of this article, your final my_written_mlbjerseyschina.us file should look like this:

In the output, you can see the three paragraphs that you added to the MS word file, along with the three headers and one image.

Conclusion

The article gave a brief overview of how to read and write MS Word files using the module. The article covers how to read paragraphs and runs from within a MS Word file. Finally, the process of writing MS Word files, adding a paragraph, runs, headers, and images to MS Word files have been explained in this article.

Источник: [mlbjerseyschina.us]

Image Processing Filters for Grids of Cells Analogous to Filters Processing Grids of Pixels

1 Introduction

Forces between intra-cellular structures, groups of cells and external structures are involved in forming an organism (Stern, ; Rauzi et al., ; Benton et al., ; Münster et al., ; Bhide et al., ). Processing images using filters for segmenting and analysing sub-cellular structures and cells is a common task for bio-image analysts. Furthermore, the concept of grouping pixels into superpixels for further analysis is well known in computer vision (Ren and Malik, ). Thus, it is at hand to process groups of pixels which represent cells and thus, sub-entities of images. Quantitative measurements derived from those digital representations of individual cells can deliver insights about a cells&#x; identity. However, such measurements may not fully capture important aspects of tissue formation because of their spatially constrained nature. A cells&#x; identity might depend on properties of neighboring cells (Toth et al., ). To unravel physical principles on tissue level, it is worthwhile to formulate image processing filters taking numeric parameters, such as quantitative measurements, of cells and cell-neighbors into account analogously to classical image processing filters taking the intensity of pixels and their neighbors as input.

Most image processing software packages are limited to process imaging data on pixel level using filters. Filters are defined as numerical operations which consume an image to produce another image. Images can be seen as grids of rectangular shaped picture elements, pixels, in 2D or volume elements, voxels, in 3D. Typically, filters take the neighboring pixels of every pixel into account to produce a new pixel value. For example, the mean average filter computes the average intensity of pixels around every pixel and saves the resulting value for each pixel in the new image. In common image processing software, various neighborhood specifications are used: Pixels touching a given reference pixel in corners, edges and voxels touching the given voxel in a plane can be seen as directly touching neighbors. Furthermore, pixels/voxels within a rectangular/cuboidal or ellipsoidal shaped region with given radii around the reference pixel form the proximal neighborhood. Some image processing libraries also offer customizing neighborhood definitions to specific needs. Such a definition is then referred to as structuring element or footprint of a filter.

Combining pixels to objects is common practice and quantification of parameters of objects, such as size and shape, is straightforward. With that, we can visualize parameters of objects as intensity in images, so called parametric images. For example, a parametric image can show large objects with a higher intensity and small objects with a lower intensity. Objects can be cells and thus, studying quantitative parameters of cells in parametric images is straightforward. Studying relationships between cells in such parametric images is more complex and requires some form of so called region adjacency graph (RAG), an abstract representation of neighborhood relationships between cells. For example, measuring the mean area of cells in a given neighborhood around each cell requires determining the RAG of all cells in the tissue and then averaging the area of neighboring cells for each cell. If this would be straightforward, one could think of selecting all cells in a tissue which for example are smaller than the average area minus two times the standard deviation of the area of cells in a given neighborhood. In a more advanced setting, cell classification algorithms could take properties of cells into account that are within a given radius around the cell of interest. Image analysis workflows could benefit from incorporating such operations on tissue level and thus, might enable new perspectives when studying for example tissue development.

Software libraries in R and Python for processing RAGs, such as SPIAT (Yang et al., ) and NetworkX (Hagberg et al., ), are accessible to an audience with programming experience and offer powerful approaches to study spatial relationships between cells. Widely used open source tools with graphical user interfaces for processing quantitative measurements of cells and their neighbors such as CytoMap (Stoltzfus et al., ) typically operate on tabular data and are not integrated in image processing software. Another software package for digital pathology, QuPath (Bankhead et al., ), supports similar tools and is limited to two dimensional image data. Thus, the even though operations on RAGs in the cell/tissue context are well known, their application as general purpose tools for processing information between three dimensional cells were yet missing. In this article I present filters for processing objects such as cells, their neighbors and quantitative information derived from them targeting general-purpose use-cases. These filters can process two- and three-dimensional image data and are available for users without programming experience in the ImageJ/Fiji (Schneider et al., ; Schindelin et al., ) and napari (Sofroniew et al., ) ecosystems.

2 Methods

Analogously to image processing filters taking pixel intensities into account, filtering RAGs of cells is feasible. For example, when applying a mean average filter on neighboring cells, the filter could average the intensity, or any other quantitative parameter, of neighboring cells within a certain region and store the resulting value in the corresponding cell of the resulting image. This way you can combine context specific information and any other neighbourhood properties. As for those filters on tissue level the RAG needs to be taken into account, a visual representation of the RAG is required for a user friendly interface. Label images can be used as convenient visual representation of RAGs. Label images are also based on pixel grids and are used to label objects, e.g. with numbers. Thus, in the case of processing images of tissues, a label image could have intensity values numerating the cells. A given pixel intensity 1 means the pixel belongs to cell 1. A label image containing n cells can have pixel intensities ranging from 0 to n, with 0 representing background or empty space between cells. From a label image it is straightforward to retrieve an RAGs following the above specified neighborhood definitions, for example by searching the label image for adjacent pixels with different label values. If there are two neighboring pixels with labels 1 and 2, obviously the cells 1 and 2 are adjacent. In the following, that case will be referred to as touching neighbors . As mentioned above, touching neighbors are also defined for pixel grids and thus, the analogy between pixel-based image processing filters and cell-based filters is obvious. For determining if cells are within a given circular neighborhood, the centroids of the cells can be used to compute their distances to each other and to derive an RAG based on cell-cell centroid distances below a given threshold. This case can be referred to as proximal neighbors . Two examples for touching and proximal pixels and cells are given in Figure 1. An example workflow applying filters to touching neighbors for the purpose of image segmentation in grids of pixels and grids of cells is shown in Figure 2. Furthermore, for the sake of completeness, when studying relationships between segmented objects such as cells, another type of adjacency is commonly used: n-nearest neighbors. Also in this case, centroids of the cells can be used to determine a given number of cells that are adjacent to every cell in a given label image.

mlbjerseyschina.us

FIGURE 1. Neighborhood relationships of pixels (A) and cells (B): Pixels and cells sharing edges can be considered touching neighbors. Cells and pixels with a centroid distance below a given threshold can be considered proximal neighbors.

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FIGURE 2. Comparison between filters for binarizing an image on a grid of pixels (A) and a grid of cells (B). Both can be used analogously: When applying a mean average filter on a pixel-grid, the intensities of neighboring pixels are averaged. In case of a cell-grid, intensities of cells in a given parametric image are averaged locally to make a new parametric image. The associated label image serves as representation of the region adjacency graph of the cells. Binary image processing filters such as erosion and dilation work analogously, also on the same region adjacency graph expressing neighborhood relationships between cells.

The proposed implementation offers so called label neighbor filters for processing labeled objects such as cells. The filters include local minimum, mean, maximum and standard deviation. Those filters work analogously to filters operating on a pixel grid. Furthermore, a filter for calculating the mode of neighbors on a cell grid has been implemented. This filter can be used for post-processing of cell classification results. If a classification algorithm for labeled objects results in a classification that is not perfect and rather noisy, the mode filter can reclassify the cells based on the most popular adjacent cell classification. A synthetical use case for this filter is shown in Figure 3.

mlbjerseyschina.us

FIGURE 3. Application of the mode filter to a binary parametric image. Starting from a cell grid shown as label image (A) and a corresponding imperfect classification shown as binary parametric image (B), the application of mode filter of proximal cells within a radius of 80 pixels (C) can be used to locally correct classification results. Note that the cells are no hexagons. The simulated tissue consists of cells with variable shape, position and size.

Parametric images, e.g., showing shape, size and topological parameters of cells in tissues, which can be processed using the proposed filters can be generated using the CLIJ (Haase et al., b) and the MorpholibJ (Legland et al., ) libraries in the ImageJ/Fiji ecosystem. Those parametric images are can also be used within the python/napari ecosystem. For generating those parametric images with python, programming experience is necessary, e.g., to make use of the scikit-image (van der Walt et al., ) library. Also other quantitative image processing libraries can be used. The only constraint is that the parametric images and label images must be available as numpy (Harris et al., ) arrays.

To demonstrate the label neighbor filters with a realistic use-case, cell classification in a developing Tribolium castaneum embryo serves as example. Starting point is a three dimensional data set of the embryo and a given cell segmentation. A classifier based on average distances to neighboring cells was trained to differentiate embryo, serosa and a border region in between the two where possibly the amnion will form later during development (Benton et al., ). As visualized in Figure 4, the resulting classification is a bit noisy. After filtering the cells for the mode of proximal classes, the cell classification appears more organized spatially. The border region between embryo and serosa can be identified more clearly, which may be crucial for understanding the differentiation of these tissues biologically.

mlbjerseyschina.us

FIGURE 4. Application of the mode filter to a classification result of cells in a developing Tribolium castaneum embryo. Starting from a given 3D image dataset (A) and a label image representing the cell segmentation (B), cells can be classified into three classes. If the classification is noisy (C), application of the mode of proximal neighbors filter can be used to determine the most popular class in each cell&#x;s neighborhood (D).

The proposed user interfaces in ImageJ/Fiji and napari offer a category of Label neighbor filters containing the above introduced filters as shown in Figure 5 and Figure 6, respectively. The tools are available to end-users as part of the CLIJ2-assistant (Haase et al., a) in Fiji and the napari-pyclesperanto-assistant (Haase et al., ) in napari. In Fiji, the tools can be installed by activating the clij and clij2&#x; update sites. The current development version of the assistant can be installed by activating the clijx-assistant update site. The napari-pyclesperanto-assistant can be installed in napari using napari&#x;s the plugin installer. The napari plugin is also under development yet as napari itself is in early developmental stage. Tools that are under development should be used with care and we developers highly value feedback to guide development of our tools in the right direction. Both, the Fiji and the napari plugins, execute the filters based on GPU-accelerated image processing kernels of the CLIJ library. The filters are available in an interactive fashion allowing the users to change parameters, such as the maximum distance of cells to be considered as proximal neighbors, and see the resulting filtered parametric image in real time. Furthermore, in both platforms the user can generate code that represents a workflow as designed on screen and thus, enable reproducibility of the workflow incorporating label neighbor filters potentially together with classical image processing, segmentation, analysis and visualisation steps.

mlbjerseyschina.us

FIGURE 5. User interface in Fiji: The label neighborhood filters are available in Fiji via the CLIJ2-assistant user interface on a right-click. After clicking on the given filter, a new window opens and a corresponding dialog where the user can fine tune parameters such as the maximum distance of cells to be considered in the filter as neighborhood.

mlbjerseyschina.us

FIGURE 6. User interface in napari: Users can access the label neighborhood filters via the napari-pyclesperanto-assistant user interface. After clicking on a category, the user can select a filter such as mode of proximal neighbors and fine tune parameter such as the maximum distance of cells to be considered for determining the mode.

3 Discussion

The presented label neighbor filters fill a gap in the landscape of available image processing techniques and build a bridge between biologists, bio-image analysts and graph/network scientists. When studying cells and tissues using computational methods, interdisciplinary communication and terminology has to be chosen carefully. Typically, experts studying measurements of cells on tissue level speak about RAGs. Those graphs consist of nodes, which represent cells, and edges which connect nodes and thus, represent the adjacency/neighborhood relationship between cells. Edges could also be seen as abstract representation of tight junctions between two cells. Thus, cell-cell communication, via chemical signals or physical forces, happens along the edge in computational models. While understanding the concepts of graphs, nodes and edges appears crucial from a computer science perspective, a biologist may think more about how cells exchange proteins through their membranes. A physicist may think about forces along cell membranes. Thus, it appears worthwhile to remove any kind of field-specific terminology from a given user interface and present the filters for processing cells and tissues in a generic fashion. As the concepts also work for objects that are no cells, the presented user interfaces use the term label images as it is common in the image processing context. Furthermore, while the proposed implementation of the label neighbor filters is limited to basic descriptive statistics operations, the framework is extensible via the ImageJ2 plugin mechanism (Rueden et al., ) in Fiji. A solution for extending the napari infrastructure is on the way. Contributions to the underlying open source projects are welcome.

When it comes to storing information such as neighborhood relationships, choosing the right file format is crucial. NetworkX supports a JSON-based file format, which is not compatible to any ImageJ/Fiji or napari plugin at the time of writing this. On Fiji side, plugins for managing lineage trees, which are in practice spatio-temporal RAGs, can be managed using plugins such as Trackmate (Tinevez et al., ) and stored as XML-based files. Due to the lack of an accepted community standard for cross-platform file formats for storing RAGs, and no available interactive graphical user interfaces for managing those in the biological image processing context, the proposed software uses label images as interchange format for RAGs. Label images can be stored in manifold file formats such as TIF and manipulated using various software packages including plugins for ImageJ, Fiji and napari. The additional processing step to retrieve an RAG from the label image can be neglected in our implementation as processing is executed on graphic processing units (GPUs). This operation can be parallelized and thus, fits well in the scope of GPU-acceleration libraries such as CLIJ.

4 Conclusion

In this manuscript I presented filters for local filtering of quantitative parameters of segmented and labeled cells within their local environment in two and three dimensional imaging data. Such tools appear crucial for visualization, analysis and deeper understanding of quantitative parameters on tissue level. Special emphasis was put on accessibility and user-friendliness to enable a broad audience to explore their image data of cells and tissues.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: mlbjerseyschina.us

Author Contributions

RH developed the software, made the figures and wrote the manuscript.

Funding

I acknowledge support by the Deutsche Forschungsgemeinschaft under Germany&#x;s Excellence Strategy&#x;EXC&#x;Cluster of Excellence Physics of Life of TU Dresden.

Conflict of Interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher&#x;s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

I would like to thank Daniela Vorkel, MPI-CBG/CSBD Dresden, for imaging the used Tribolium embryo data and Nicola Maghelli and Gene Myers, MPI-CBG/CSBD Dresden, for providing the imaging infrastucture. Furthermore, I thank Christopher Schmied, Human Technopole Milan, and Pradeep Rajasekhar, WEHI Melbourne, for reading the manuscript and providing helpful feedback. Most importantly, I thank Walter Pätzold, HTW Dresden, because he gave an inspring lecture about the topic 15 years ago.

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Keywords: image processing, cells, tissues, region adjacency graphs, spatial analysis, imagej, Fiji, napari

Citation: Haase&#x; R () Image Processing Filters for Grids of Cells Analogous to Filters Processing Grids of Pixels. Front. Comput. Sci. doi: /fcomp

Received: 11 September ; Accepted: 26 October ;
Published: 19 November

Edited by:

Virginie Uhlmann, European Bioinformatics Institute (EMBL-EBI), United Kingdom

Copyright © Haase&#x;. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Correspondence: Robert Haase&#x;, mlbjerseyschina.us@mlbjerseyschina.us

Источник: [mlbjerseyschina.us]

The Best App for Editing Photos on the iPad

There is a journey every photographer walks through.

The first step involves realizing you want to take better photos than what your iPhone can provide. This leads to intense research on the latest camera technologies and the latest photo editing apps. Then, after acquiring the lust-worthy gear, after working with the camera for a few years, and after working through every photo editing app available, the pure craft of photography takes over.

In essence, the end game of the photography experience is just the craft itself. Not kit, not apps, not locations — just the craft.

Fortunately, there are apps for every step along that journey. No matter where you find yourself in your budding photography hobby — or brimming photography career — there’s an app for you that will meet and exceed your needs.

We’ve already named Adobe Lightroom the best photo editing app for the Mac and Darkroom the best photo editing app for the iPhone, but with how the iPad Pro has grown as a photo editing device over the last two years, it only seems natural to choose an app specifically for the iPad as well.

We believe Adobe Lightroom for iPad is the best photo editing app on the platform. Lightroom is that end game photo editing app — the one that experienced photographers turn to after years of experience mastering their craft.

In all likelihood, that photo editing journey begins with Apple’s latest Photos app — completely overhauled for iOS 13 with a very strong array of tools — and morphs through apps like Darkroom, Pixelmator Photo, VSCO, Snapseed, A Color Story, and more. Each of these apps are strong contenders and will find a passionate user-base of their own.

Darkroom in particular (our runner-up selection) takes advantage of all of iOS 13’s latest features, including multi-window support, the ability to edit the foreground and background of Portrait Mode photos, and even includes Siri Shortcuts support. We don’t believe Darkroom will be an experienced photographer’s end game photo editing app, but we wouldn’t be surprised at all if this is the app iPhone photographers gravitate to in the long run.

As it stands, Lightroom continues to be the best package of editing tools, cloud storage, customizable presets, and price available on the market today. Lightroom is one of the most widely loved photo editing apps in the world, and that same love transfers to Lightroom for iPad in a big way.

What the Experts Are Saying

This is a big category with both a skilled and opinionated working base. All sorts of individuals have their own needs and preferences, so we figured it’d be best to reach out to some of our favorite photographers to better understand their thoughts on the best photo editing app for the iPad.

Adobe Lightroom iPad

Om Malik, founder and former senior writer for GigaOM, has one of our favorite photography blogs on the web right now. Malik:

My go-to photo editing app now is Lightroom CC on the iPad. It allows me easy storage/backup, and it has very good and fast editing features. I have now been able to use it to basically rank, sort and clean up my photos in the field and not have to wait to come home and deal with everything. I love editing with the Apple Pencil as it allows me to do highly localized edits that feel more natural. For RAW on iPad, Lightroom CC wins hands down for me. On the iPhone however, I prefer to use Darkroom for my iPhone related work.

Erin Brooks, a photography contributor here at The Sweet Setup, but also a photographer who has shot campaigns for the biggest brands (including Apple), had this to say:

I like Lightroom Mobile best on my iPad because it provides the most options, freedom, and because I can use my Pencil for tons of control. It’s great that I can tweak and make small adjustments to my photos, as well as create and save presets.

And Marius Masalar, another major contributor here at The Sweet Setup, but also a photographer, videographer, (and musician) who works with big companies in Toronto, Canada, chimed in:

It’s tempting to think of Lightroom CC for iPad as a companion to the desktop app, but it’s grown beyond that. Pencil support makes editing on iPad even better than on a desktop in many cases, and the ability to access your entire library, along with your presets, from anywhere in the world feels decidedly more flexible than the way I used to work. Adobe has been aggressively filling in any functionality gaps and taking advantage of new iOS capabilities, elevating the entire experience. With Photoshop for iOS waiting in the wings, the iPad is becoming a photo editing powerhouse for photographers on the go.

How We Chose

The iPad and the Mac are far from identical in terms of photo editing apps, but they both suffer from the same lingo issue. The term photo editor describes two very different types of apps. Some photo editors, like Lightroom, have digital asset management (DAM) features, walking photographers from import to editing and through to exporting, and include library management features for storing and organizing your photos.

Other apps, like Pixelmator (the regular Pixelmator, not Pixelmator Photo) are standalone photo editing apps, in that they shed the ability to manage your photo library and provide more expansive editing (think, manipulating) tools. So in an app like Lightroom, you can lighten or darken the sky around your subject. But in an app like Pixelmator, you can cut that sky completely out of your image, add another layer from a completely different sky file, and have a completely different sky than what was shot.

This review will focus on the first set of “photo editors” — or those with digital asset management features.

Criteria

Photography is an especially personal journey, and every person’s criteria for the best photo editing app will differ. Some may focus on the specific editing tools — like the ability to merge photos or HDR-related editing tools — while others may prioritize presets, exporting, and Instagram-ready features like hashtag support. Here are the criteria we’ve used to make our pick:

  1. Features and editing tools: What good is a photo editing app that doesn’t have a proper set of editing tools? Generally speaking, the more tools an app provides, the more tools a photographer can use to shape the photo to their vision.

    What we found interesting, in the context of the iPad Pro, is how much the apps in our contending list differ in this section. Some include direct Apple Pencil support for making selective or brush edits, while others don’t have the ability to make selective edits at all.

  2. Design and ease of use: Something many iPad photo editing apps fall prey to is the use of unmarked glyphs prevalent across the iOS design language. In the world of iPad user interfaces, a “paintbrush” can mean a wide variety of things, and having a “paintbrush” differ from one app to the next will inevitably lead to headaches and lost time in the early days of testing.

    It’s important for the best photo editing app to present editing tools and controls in a way that not only feels natural to use, but feels natural to use on an iPad. This can mean how tools are laid out for two-handed landscape use (with navigational and tool buttons on each side of the display), and how specific tools look (like, say, a histogram).

  3. Ecosystem: The photography journey is a path well-traveled by many, many skilled individuals. Those individuals have laid an enormous foundation of guides, tutorials, presets, courses, and overall general knowledge for each individual photo editing app to keep newbies entertained for months on end.

    In the context of this review, “ecosystem” is generally going to refer to guides and tutorials you can find on YouTube to better help you understand the app, as well as the volume of preset packages available.

  4. iOS feature support: This is an iPad-specific app review, and thus it’s important that the best photo editing app take advantage of as many of the latest iOS features as possible. Apps that support features like multiple windows, Split View, Siri Shortcuts, iCloud Photo Library, and the ability to import photos directly from an SD card are more than likely going to catch our eye.

    Unfortunately, this direct iOS feature support has the tendency to work against cross-platform apps. Apps that are available on the Mac, iPad, and iPhone — and specifically cross-platform apps vying for feature parity — may tend to take longer to adopt the latest iOS technologies or may opt to jettison those technologies altogether. The best photo editing app for the iPad should at least have some support for iOS’s latest features.

  5. Price and cost structure: We’ve never been shy to recommend software that costs money. That being said, we’re well aware of subscription overload — there is a finite amount of money in our pockets, and we’re all working to spend it (or save it) as wisely as possible.

    If you’re going to invest in your photography habit, we expect the best photo editing app to provide good value. Photography isn’t exactly an inexpensive hobby, so the price threshold in this criteria can be quite high. If you’re looking to save a few bucks, a few contenders even opt for one-time purchases to keep you from shelling out more money each month.

Adobe Lightroom is the Best Photo Editing App for the iPad

In naming Lightroom the best photo editing app for the iPad, we’re assuming a few things:

  1. Your journey has led you to purchase a dedicated camera — be it point-and-shoot, mirrorless, or DSLR — and you’ve moved away from shooting with just an iPhone (I was going to say “beyond an iPhone”, but the iPhone’s camera quality is so great these days, it’s more of a tool choice than necessity).
  2. You have either already moved through the journey of testing a whole range of apps, or you want to skip over the testing entirely.
  3. You have more goals than just photo editing.

Adobe Lightroom for iPad excels in all of our criteria above:

  • Lightroom has a vast array of editing tools, from HSL and curve tools, through to selective, radial, and graduated filters that can be applied with an Apple Pencil. These latter features (selective/radial/graduated filters) are surprisingly hard to find in iPad photo editing apps.
  • Lightroom opts to use words to help navigate tools and sliders rather than glyphs. Further, if you are coming from the Mac or the iPhone, the same design language in Lightroom for any other platform is the same as it is on the iPad.
  • Lightroom’s ecosystem is second-to-none. From tutorials and guides on YouTube to the incredible third-party preset market, Lightroom has enough external material to keep the inspiration flowing for years and years.
  • Lightroom doesn’t lead the pack in terms of supporting the latest iOS features, but Lightroom has the best Apple Pencil support of any photo editing app we tested.
  • Lightroom is one of the more expensive options in this review and comes with a variety of subscription plans for your choosing. However, for the price, Lightroom provides an ample amount of cloud storage (the $/month plan offers 1TB of cloud storage), cross-platform support with near-feature-parity apps on the Mac and iPhone, and access to other Adobe Creative Cloud apps like Portfolio.

Features and Editing Tools

When Adobe first debuted Lightroom CC — which is the cloud-based photo editing app that launched as a counterpart to the more traditional Lightroom Classic CC — the number of core features missing was a bit disappointing. Since its debut, Adobe has updated Lightroom CC at a lightning pace, introducing features like synced presets and synced profiles to speed up the mobile editing process. There are still a few features missing from the traditional Mac version of Lightroom Classic CC, but the list is short.

Standard editing tools like exposure, contrast, white balance adjustments, curves, HSL, detail, and more are all available in Lightroom for the iPad. Those who are looking for more powerful edits like split toning and color mixing will also be happy, as not only are these tools present on the iPad, they always work identically to Lightroom on other platforms.

Even geometry editing features are available in Lightroom for iPad — if you have some distortion on a wide angle photo or you weren’t able to nail straight vertical lines when passing by a building, you can use Lightroom’s Upright geometry feature to quickly correct (or provide guidelines to correct) the angles in your photo. These geometry features, alongside lens correction profiles, are two of the first edits I do on every photo in Lightroom.

Lightroom’s crop and rotate editing features are fairly standard and provide the standard range of pre-defined aspect ratios. Unfortunately, the straighten tool doesn’t have an automatic setting like it does on the Mac app.

What sets Lightroom apart from the rest of the competition are the healing and selective brush editing tools, made even better thanks to high-end Apple Pencil support. Lightroom for iPad has a general healing brush, allowing you to correct maladies in your photograph by softening or by cloning the pixels around an area of a photo. You can apply this healing brush with the Apple Pencil, and it works entirely as expected — draw over an area of the photo and Lightroom will first mask the area you’re intending to heal and then showcase which pixels it will draw from to heal (or clone) your selected spot.

This is even more powerful with the selective brush editing tools in Lightroom for iPad. Want to dodge a specific person or subject in your photo, but want to leave the rest of the photograph as is? Grab your Apple Pencil, hit the “+” button in the top left corner of the screen, select the Paintbrush, and color over the area of your photograph you’d like to lighten. Lightroom will again provide a mask over the area you’re intending to edit. Once you have the area you want to edit selected, you can play with a variety of light, color, effects, details, and optics tools to set that area of the photograph just right.

The same can be done with graduated filters (where your edits are made strongest in one area and gradually subside across your selected area) and radial filters (where your edits are strongest at the center of your selected area and subside away from middle point).

These selective features are less common in competing apps — and lag further behind when competing apps do adopt them — and truly punctuate Lightroom’s position at the top of this category.

Lightroom’s discovery features take advantage of Adobe’s Sensei cloud intelligence, which is designed to intelligently search across your entire Lightroom library without you having to manually keyword each photograph. Simply typing the word “slide” in Lightroom’s search bar yielded five photos I took of my daughter at the park one spring evening. Only one photo was flagged, two were edited, and all the photos contained a slide. I’ve been extremely impressed with Adobe’s Sensei technology, even if the yielded results are organized in no particular order.

There are, however, some missing features, at least when comparing Lightroom on the iPad to Lightroom on the Mac. Marius Masalar’s note in our Lightroom for Mac review holds true here:

Lightroom CC has no Print module or proofing tools, no Map module or support for geotags, no tethering support, no HDR or panorama merging, limited batch editing, limited keyword support, no smart collections (there are only “albums”), no face recognition, no file renaming, no adjustment history, JPG-only export (and only in the sRGB color space), and support for a single catalog only (you can’t create multiple catalogs like you can in Classic CC).

Many of the missing features mentioned by Marius above hold true today — Lightroom CC for the iPad does not have a Print module or proofing tools, no Map module or support for geotags, no tethering support, no HDR or panorama merging, limited keyword support, no smart collections (there are only “albums”), no face recognition, no file renaming, and no adjustment history.

However, since we first published this review, Lightroom CC has introduced a variety of previously missing features. You can now batch edit multiple photos across Lightroom CC. To do so, simply copy the settings of one photograph, navigate back to your main library view, select the photos you want to apply the edit to, and hit Paste on the bottom navigational row. Keep in mind, though, that batch editing in this iteration of Lightroom CC is a “destructive process,” in that once you apply the edit across a batch of photos, you cannot revert those photos back to their original settings.

One of my original complaints with Lightroom CC for the iPad was a lack of defringing tools. Of course, after a little patience, Adobe debuted these selective defringing tools in Lightroom CC for the iPad, eliminating the need to do some fancy color work to get everything to work.

Finally, Lightroom CC for iPad has also adopted better exporting features since we first published this review. You can now choose Export As at the bottom of the sharing menu to choose a variety of export settings. You can also choose where to save your photos (either to your Camera Roll or to the Files app).

We believe the currently missing features inside Lightroom on the iPad are made up for thanks to the high value in Lightroom’s standard monthly subscription price, its synced presets and overall ecosystem, and its top-notch Apple Pencil support for selective edits. Batch editing is a legitimate must-have feature that’s currently missing, but major editing tools like HDR or panorama merging are best suited for a desktop editor.

Design and Ease of Use

Lightroom for the iPad has the exact same design language as Lightroom on the Mac and Lightroom Mobile for the iPhone, which is to say it’s relatively easy to pick up, understand, and implement with only a little bit of practice.

One specific area where Lightroom excels beyond the competition is in its navigational elements. Symbols are used to denote different modules on the right side of the iPad UI, but the remainder of the editing tools and sliders are all showcased in written English. This is a stark difference to other photo editing apps on the iPad, where your guess is as good as mine as to what all the different navigational and tool symbols mean.

There are a few head-scratchers in terms of user experience in Lightroom on the iPad, however. Some fundamental gestures are completely hidden and very hard to find in Lightroom’s iPad UI. A two-finger tap on the image will toggle the overlaid metadata with the photo’s histogram. A swipe up in the rating module (denoted by a star in the bottom right corner of the display) will mark the photo as picked, while a downward swipe will mark the photo as rejected.

Other operational methods of the app could use a touch of polish as well. It’s not immediately clear how to both create a selective edit (you have to hit the “+” button first in the top left corner to create a selective/graduated/radial filter, then color over your selected area, then edit the area with the sliders on the right) and how to edit a selected area after you’ve completed your edits (you have to actually tap the little dot on your photograph, which denotes the very start of your selective edit area). These operational methods are identical between Lightroom on the Mac and on the iPhone, but for brand new users with no experience using any version of Lightroom, this is bound to be a little challenging.

Although we prefer the way Lightroom denotes its navigational elements with words rather than symbols, the app has a few areas that could be a little more user friendly (or perhaps new-user friendly).

Ecosystem

Lightroom’s ecosystem is by far the greatest ecosystem in this review — it may even be the biggest ecosystem of any creative app on iOS. There are hundreds — thousands — of tutorials and guides on YouTube for how to get more out of Lightroom. And since Lightroom has near feature-parity across multiple platforms, guides that pertain to Lightroom CC on the Mac are mostly going to pertain to Lightroom on the iPad as well.

This ecosystem is most noticeable in terms of the sheer wealth of third-party presets available for Lightroom. Masters of their craft — like Rebecca Patience, who creates the Rebecca Lily Pro Set packages, or like Peter McKinnon, who has some killer preset packages with some bold looks — have preset packs available for purchase that can be imported and synced to Lightroom on the iPad to speed up the editing process. You can find preset packs all over the web, from individuals who struck it big in Hollywood to boots-on-the-ground wedding photographers who have a special look.

While tutorials and guides are available to be consumed on the iPad, synced presets have one major shortcoming: third-party preset packs must be imported in Lightroom CC on the Mac and synced over to Lightroom on the iPad via your Adobe Creative Cloud account. Once you have your presets imported in Lightroom on the Mac, they automatically show up in Lightroom on the iPad. But for those who are trying to cut the Mac cord out of their editing life, Lightroom on the iPad hasn’t been fully weened off its desktop counterpart.

iOS Feature Support

Of all the main criteria, major iOS feature support — or perhaps, rather, the speed at which Lightroom adopts iOS’s latest technologies — can be a bit lacking. While Lightroom on the iPad has the best Apple Pencil support of any contender in this review, there are a few glaring iOS feature omissions that will have some users pointing to Darkroom as the front-runner.

For instance, Lightroom for iPad doesn’t have Split View support — an iOS feature that debuted years ago. You cannot have Lightroom open in Split View, nor can the app be open in Slide Over. iOS 13’s multiple window support is also missing in Lightroom for iPad. In essence, there is one Lightroom window open on your iPad, and that’s it.

Other contenders have adopted Siri Shortcuts support (beyond merely importing into Lightroom), or direct iCloud Photo Library and Files integration to allow you to maintain one photograph library rather than two. Other contenders have features designed specifically for editing iPhone photos — Portrait and Depth photos, which have a foreground and a background, and don’t have special editing features inside Lightroom for iPad.

Lastly, as of the time of writing, Lightroom CC for the iPad doesn’t have deep cursor support. If you’re using your iPad like a laptop with a Magic Keyboard or external trackpad, you’ll notice the pointer flying around the screen and you can use the pointer to control all the tools and navigational elements of the app. However, trackpad gesture support doesn’t really exist at this point — if you want to swipe between photos with two fingers while in the editing view, you’ll have to instead click, hold, and drag the photo right or left to navigate through your library.

The saving grace for Lightroom on the iPad — at least under this criteria — is the app’s high-end Apple Pencil support. No other contender utilizes the Apple Pencil to the same extent as Lightroom for iPad. This is surprising because the notion of using the Pencil to “paint” your edits on your photographic art seems very, very natural, and we’re surprised more contenders aren’t pushing for more advanced Apple Pencil support in their apps.

The overall lack of immediate iOS feature support begs one important discussion: Adobe Lightroom is the best photo editing app for non-iPhone photos. All the elements that computational photography brings to the iPhone’s table yearn for an app that’s designed and/or dedicated to editing iPhone photos. As mentioned at the top, this review assumes a photographer has gone through the journey of researching different cameras and tools and inevitably ending up with a specific dedicated camera. Lightroom is the best photo editing app on the iPad for dedicated cameras, while Darkroom is the best photo editing app on the iPad for editing iPhone photos thanks to Darkroom’s incredible iOS feature support.

Price and Cost Structure

Adobe’s Creative Cloud subscription covers a broad web of applications, tiers, and packages. If you need to use any of Adobe’s apps, there will be a Creative Cloud package with your name on it (and a price to match).

For photographers, there are two plans, each with their own specific tiers:

  1. The Lightroom Plan: Includes Lightroom and 1TB of cloud storage for US$/month.
  2. The Photography Plan: Includes Lightroom, 20GB of cloud storage, Lightroom Classic (available only for Mac) and Photoshop (not yet available for iPad) for US$/month.
  3. The In-App Premium Plan: Includes Lightroom for iPad only, GB of cloud storage, and premium tools (like selective edits and RAW editing) in the iPad app only for US$/month. Note this plan is only available as an in-app purchase in the Lightroom for iPad app — this plan isn’t even mentioned on Adobe’s own site.

The “Photography Plan” has a second tier that pushes cloud storage to 1TB and includes all of Adobe’s photography apps for US$/month.

The Lightroom and Photography plans also include access to Adobe’s Portfolio app (among other apps), which is a great option for showcasing your best photographic work in a portfolio-styled website. Simply purchase your own domain name, point it to your Adobe Portfolio webpage, and you have a professional-looking portfolio for all to browse.

Should you need additional cloud storage, the Lightroom and Photography plans can be boosted up to 10TB of cloud storage for extra money each month. The Lightroom plan, for instance, jumps to US$/month for 2TB of cloud storage, US$/month for 5TB of cloud storage, and US$/month for 10TB of cloud storage.

We believe the most valuable subscription available is the 1TB of cloud storage in the Lightroom Plan. For iPad photo editors, neither Photoshop or Lightroom Classic provide any value, so for US$/month, you gain access to all the tools Lightroom provides as well as a staggering 1TB of cloud storage. The US$/month Premium plan is a great option to get started, but it’s amazing how quickly you can burn through GB of cloud storage when working with 25MB RAW photos.

This is another area where Lightroom for the iPad really pulls away from the competition. Apps like Darkroom and Pixelmator Photo dig directly into your iCloud Photo Library, where you can subscribe to one of Apple’s plans and store your photo library in the cloud as well. Under Apple’s plan, you can purchase a 2TB cloud storage plan for the same US$/month, but that plan is eaten up by all apps that utilize iCloud storage. Depending on the size of your device backups and document library, that 2TB storage plan could drop in size quickly.

Secondly, Adobe’s subscriptions unlock Lightroom on all platforms, including Lightroom on the web. Yes, should you need to edit photos from your browser, Lightroom has a web version that is perfect for accessing your library from anywhere, and even allows you to make the edits you need on-the-go.

Adobe’s Lightroom subscription is the most expensive option in this review, but it provides the most value of any photo editing app available on the iPad today.

Our Runner-Up Pick for the Best Photo Editor for iPad: Darkroom

Darkroom iPad

Darkroom for iPad didn’t even exist 12 months ago, but there may not be an app on the App Store that has seen such incredible growth and development ever since. Darkroom for iPad has blossomed into a full-fledged iPad photo editor and, in many ways, excels beyond Adobe Lightroom’s capabilities.

In fact, this entire review came down to the wire between Darkroom and Lightroom. As far as our criteria goes, Darkroom measures in neck-and-neck with Lightroom, thanks to Darkroom’s expedient adoption of iOS technologies, its super-affordable price, its array of editing tools, and its easy-to-use design. If Darkroom had a more vast ecosystem and more third-party assets available to expand the app’s capabilities, Darkroom would explode to the top of our list.

Features and Editing Tools

Darkroom on the iPad replicates all the same tools found in Darkroom for iPhone, which is to say that Darkroom is a well-rounded app with nearly all the editing tools you’d ever need.

There are a few editing tools in Darkroom that aren’t in Lightroom, specifically in regards to iPhone photo edits. If you’re looking to edit a Portrait Mode photo shot with an iPhone, Darkroom should be your editing app of choice — you can split your edits between the foreground and background, allowing you to more specifically apply your edits.

Portrait Mode photos also benefit from Portrait-specific presets built into Darkroom. These presets apply a different and complementary set of edits to the foreground and background, helping to speed up your Portrait edits and keep everything balanced.

The latest updates from Darkroom allow you to use all the app’s editing tools on your videos as well. If you have a favorite preset or a favorite way to edit your imagery, Darkroom makes it as easy to edit your videos as it does to edit your photos.

The remainder of Darkroom’s presets are a little lackluster — we only find Darkroom’s “Landscape” and “X-Pro” presets worthwhile, with the remainder feeling overdone or overblown.

Darkroom feels built for iOS devices, in that it takes the photo editing workflow beyond edit and export. You can export your photos with an inset border, like you see by many photographers on Instagram. Further, Darkroom can act as a repository for your Instagram hashtag sets — simply copy your saved hashtags in Darkroom before heading over to Instagram to share your photo.

A major omission in Darkroom are selective, graduated, and radial filters. All sliders and edits are applied to the entire photo (unless you’re editing Portrait photos with a foreground and background). This omission is more common than it is rare in the iPad photo editor category, so Darkroom isn’t necessarily behind the competition — Lightroom just has Darkroom beat in this area.

Design and Ease of Use

Darkroom is a dream to look at, especially now with the release of the iOS 13 design. Darkroom has always had an easy-on-the-eyes dark mode, utilizing deep greys and comfortable tones to both bring out the color of your photographs and to be gentle on your eyes at night, but with iOS 13, Darkroom adopted a light mode — including a light app icon — to take advantage of the new system default features.

Darkroom greatly excels in its iPad UI, in that controls are comfortably placed at the edge of the screen where your thumbs are situated when holding the device. Tap any module on the right to expand the slider bar and love, delete, or export with the buttons on the left.

Darkroom’s histogram is also a sight to behold. The histogram sits at the top of the tool slider bar and adjusts as you make edits. There’s something particularly alluring about the look and feel of Darkroom’s histogram. In many ways, this histogram is the epitome of the design differences between Darkroom and Lightroom.

Ecosystem

This is the major area where Darkroom falls short in the race for the best photo editor for iPad. Darkroom is a relatively new app — at least in comparison to Lightroom. The iPad app has only been around for 10 or 11 months, and there just isn’t the same ecosystem depth available for Darkroom users.

For me, this is most noticeable in terms of third-party presets to purchase. In fact, there isn’t a way to import third-party presets into Darkroom — you can create your own custom presets, but you can’t import them into the app. The Darkroom team has hinted at improving how presets are shared, saved, and imported in the future, but as of the time of writing, these latest features are not included.

From tutorials and guides through to importable and synced presets, Lightroom for iPad has the entire competition beat. Darkroom can’t measure up here.

iOS Feature Support

I’ll take a deep breath after the last paragraph, as Darkroom completely flips the competition on its head with its quick adoption of the latest iOS technologies. Like the ability to edit the foreground and background of a Portrait Mode photo, Darkroom has a few other iOS tricks up its sleeve that few other apps replicate.

Darkroom quickly adopted multi-window support with the launch of iOS You can grab a photo in your library and drag it to the opposite side of the display, opening up the photo and your photo library in Split View. Multi-window support opens up different types of workflows that only Darkroom can provide.

Darkroom has also adopted Siri Shortcuts. You can have Darkroom edit a set of chosen photos with a pre-defined (or chosen from a list) preset, put an inset border around the photograph, and prepare the photo for export, all via Shortcuts.

Darkroom has support for iPadOS ’s new cursor and trackpad support. You’ll notice your pointer morph into navigational buttons as you move around the app, and unlike Lightroom, you can navigate through your photos while in the editing view by swiping with two fingers. This is a major improvement over having to click, hold, and drag the photo to navigate.

And Darkroom’s deep integration with iCloud Photo Library means you don’t have to duplicate your photo library in Darkroom — you can make direct, non-destructive edits to all your photos in your camera roll, and the edits are synced via iCloud Photo Library in a jiff. This can all be done on raw photographs as well.

Lastly, Darkroom’s iPad keyboard shortcuts are the best of any app in this review.

In terms of iOS technology support, only Pixelmator Photo comes close to matching Darkroom’s prowess.

Price and Cost Structure

Darkroom weighs in at a much more affordable scale than Adobe Lightroom. You can download Darkroom for free and access the app’s most basic features and get to know the app. To really dive into Darkroom’s feature set, you’ll need a subscription to Darkroom+.

From Darkroom’s press release (dated February 22, ) noting the new business approach:

Starting today, anyone who paid for anything prior to this release will have access to all our premium features for free. To be crystal clear, even if you only bought a single filter set 4 years ago, you’ll now have access to all the filters and all the tools! We’re doing this to honor the commitment we made to you when you supported us before this switch.

Evidently, if you made an in-app purchase in the past, you’ll have access to all filters and all tools inside Darkroom.

New users will have an option to subscribe to Darkroom+ according to the press release:

For new users, a $ per month or $ per year subscription will unlock access to every filter and tool in Darkroom, on iPad and iPhones, now and in the future. As we grow and our product offerings expand, all new features and services will be included in this single subscription. For those who prefer to pay once and not have to reaffirm their commitments, we offer a one-time $ purchase option.

Since Darkroom+’s debut, most of the best new features have debuted exclusively for Darkroom+’s members.

These prices are substantially less than Adobe’s Lightroom CC plans for iPad, as it’s easy to spend $20 in the course of two months if you’ve subscribed to Lightroom. We do, however, recommend remembering that you have to also subscribe to a larger iCloud storage tier in order to save your photos in your iCloud Photo Library for Darkroom to access. If you add on a larger plan there, you may get closer to the $10/month charge that Lightroom requires.

And finally, if you’re one of those individuals who prefers to make a one-time purchase only, we’re very happy to see Darkroom+ be available for a one-time $50 fee.

An iPad Photo Editing App with Great Potential: Pixelmator Photo

Pixelmator Photo iPad

Both our winner and our runner-up picks will have about 99% of users covered. But for those looking to experiment with the deepest iOS technologies and who want to be on the forefront of one of the newest photo editors on the iPad App Store, Pixelmator Photo may do the trick.

Pixelmator Photo is the photo-centric sister app to Pixelmator on the iPad, and it draws a lot of its editing power from Core ML 2 — iOS’s machine learning arm.

Machine learning appears to branch into nearly all the major editing tools in Pixelmator Photo. Machine learning powers the batch editing tools (released in version ), as well as enhancement editing tools like Lightness, Color Balance, Selective Color, a repair tool, and more. The ML Enhance feature is effectively a machine-learning auto-enhance button that applies a range of machine-learned edits for a one-stop-shop. ML Enhance is incredibly powerful and, were it available on iPhone as well, would be my go-to tool for enhancing my iPhone photos.

Pixelmator Photo’s ML features have become so good, I had to write an entire article about the latest ML Match Colors feature that debuted in April ML Match Colors is one of the easiest ML features to use: Simply drag and drop a photo from your Camera Roll on top of the photo inside Pixelmator Photo and the app will automatically match the color palettes. This is an ideal way to ensure you have consistent looks and edits across a batch of photos, and it provides the baseline colors you’ll need to emulate your favorite photographers. ML Match Colors does not implement changes to hue, saturation, or luminosity of each respective color, but it does give you a good foundational start in matching your color choices across a range of photos.

Pixelmator Photo’s repair tool might be the best repair tool I tested in this review. Simply draw over the area you want corrected with the Apple Pencil (or your finger), and Pixelmator Photo will do the rest. This feature alone may keep Pixelmator Photo in my overall editing workflow — start there to get rid of unwanted objects before moving into Lightroom for final edits.

Machine learning extends to Pixelmator Photo’s range of presets (which are better than Darkroom, in my opinion) and useful non-destructive RAW photo editing tools. Photo can handle over RAW files from over camera models and all the machine learning features bring out the best that your RAW photo has to offer.

Finally, machine learning even extends into composition, framing, and perspective corrections as well. Pixelmator Photo has an ML Crop and ML Crop Presets that use algorithms to improve your compositions.

As a whole, Pixelmator Photo really dives deep into the heart of iOS technologies. I love how simply flicking the toggle on a section of editing tools automatically applies some form of edits to your photo — you can simply scroll down flipping all the toggles in the editing bar and you’ll be left with a pretty outstanding photo, all thanks to machine learning. The latest Pixelmator Photo also incorporates deep cursor support from iPadOS , ensuring you edit your photos and navigate through them comfortably with a trackpad. If you’re wanting to see the power of iOS in action, Pixelmator Photo is likely to impress.

But Pixelmator Photo isn’t our winner in this category for a few reasons:

  • Despite claiming an intuitive and simple view for managing your photos, I always get tripped up in Pixelmator Photo when looking for recent photos or when trying to pull photos in from the Files app. After an embarrassing amount of time spent searching, I found the Show Files/Show Photos button in the middle of the screen, which switches between Photo’s library and its Files integration. Sometimes these types of things are the fault of the user instead of the developer, but I found myself zooming around other brand new apps (to me) much faster when testing for this review.
  • Pixelmator Photo is iPad-only, and appears to be explicitly iPad-only, with no apparent intention to spread into the iPhone or Mac. While this isn’t a huge dealbreaker, it may inhibit some photographers when all they want to do is make a quick edit before sharing on their iPhone. Note:A tweet from the Pixelmator team states an iPhone and Mac version of Pixelmator Photo are in the works.

At $, Pixelmator Photo is almost a no-brainer app to pick up and try. The app is powerful and takes advantage of everything the iPad has to offer. In the end though, we don’t think Pixelmator Photo will be the end game photo editing app for most photographers.

Other Contenders

There are many — and a growing number — of photo editors available for the iPad. It’s almost impossible to test all of them and keep this review from becoming a textbook. Here are a few others that initially caught our eye, but inevitably ended up falling short.

Polarr

Polarr really blurs the line between digital asset management apps (DAM) and more powerful photo manipulator apps and is one of the strongest contenders for taking you from a beginner to a pro in photo editing. You can make local (selective) and global (entire photo) adjustments to your photographs, as well as go a step further by creating and applying masks to your photos (a la Photoshop or Pixelmator). You can also create your own filters and presets and quickly adjust your photos with a strong auto-enhance tool. Lastly, you can even customize the UI to your liking by re-arranging icons.

There’s a lot to like about Polarr, including its $/month (or $/year) subscription price. However, Polarr relies heavily on symbols to navigate through the UI, and requires a fairly sound knowledge of what “masks, blending, and stacking” mean — which implies a fairly steep learning curve.

VSCO

VSCO has been around forever — if memory serves, it’s the oldest app in this review. At one point, VSCO reigned supreme as the best photo editing app for the iPad, but has since been surpassed.

VSCO has the best array of built-in presets of any app in this review (which makes sense, considering VSCO initially sold a large number of Lightroom presets). Many of the best presets require a VSCO membership at $/year, and most are nostalgic, drawing from an era of old-fashioned filters during the dawn of Instagram.

One of the best ecosystems and communities in this category is also available for VSCO. A VSCO membership opens up a whole new social network for photographers to enjoy and connect with. In many ways, VSCO provides a higher level of content quality than Instagram.

VSCO’s editing tools are a lot simpler to use now than they were even a year or two ago. Where VSCO relied heavily on symbols for navigation, all editing features now have a word shown to denote which edit tool you’re utilizing. After tapping on an edit tool, VSCO provides you with a huge cross-screen slider to adjust the power of the edit on your photo.

This huge slider is my biggest gripe with VSCO — the app doesn’t feel like it was designed for larger screen iPads, and instead feels best suited for smaller iPhones.

Nevertheless, if you’re looking for a range of old-fashioned presets and another photography community to interact with, VSCO could be a great option.

VSCO is available for free on the iOS App Store.

Snapseed

Snapseed is another rare app that provides the opportunity to use the Apple Pencil for local/selective adjustments.

After importing a photo into Snapseed, you’re met with three options on the right side (presets, edit sliders, and export/share). If you tap on the edit slider option (the middle option), Snapseed slides a grid of editing tools over top of your photo. Pick one, choose the strength of the edit, and go.

There’s just not that much to love about Snapseed’s user interface, though. From the slide-in tool palette to how edits are applied, I’ve found myself bouncing around a fair bit trying to make heads or tails of the app.

That said, if you’re looking for the ability to make selective adjustments with the Apple Pencil and don’t want to pony up for Lightroom, Snapseed at least provides you another option. (I’d recommend Polarr over Snapseed for this task as well.)

Snapseed is available for free on the iOS App Store.

A Color Story

A Color Story is one of those photo editing apps that few have heard of and that has flown under the radar for a little while. Though, some may not have heard of it for good reason.

A Color Story lives up to its name — you import a photo, and take the photo through a “story” of edits. A Color Story provides a step-by-step approach to editing your photo, from compositional and framing adjustments at the start, through to filters, effects, and other editing tools. You traverse through your photo’s story as you work through A Color Story’s tools.

But this app is particularly frustrating. For one, the app only works in portrait orientation on the iPad Pro. Second, every time you change a screen, the app flashes another ad to purchase premium tools, premium filters, and ACS+, which is the app’s annual subscription to unlock all the tools.

You can generate some incredible color inside A Color Story, but for $25/year, it’s hard to stomach an app that doesn’t change to the iPad’s landscape orientation.

Wrap Up

A category as big and vast as photo editing presents difficulties when trying to name the absolute best tool for the job — no matter what you pick, there will be a different tool that works better for a different person. That has to act as a disclaimer on this entire review.

This is even the reality when it comes to using an iPad for editing photos. From my chair, the iPad feels like the perfect form factor for editing photos — a glowing slab of glass with a magical pen in your hand, neatly applying adjustments and edits to a large photo canvas on the screen. Yet, others will shake their head at my utopian photo editing vision and say nothing is better than a big, perfectly color-accurate desktop monitor.

Adobe Lightroom iPad

For photographers on the general photography journey — from smartphone photography through to point-and-shoot, mirrorless, and DSLR photography — Adobe Lightroom for iPad is likely to be the last photo editing app you ever need. Once you sign up, begin uploading photos to your 1TB Creative Cloud online storage, and begin finding great third-party presets to utilize, it’ll be very difficult to adopt any other app for your photo editing needs.

But this completely discounts the power of Darkroom for iPad and the potential of Pixelmator Photo.

To my way of thinking, Adobe Lightroom for iPad is the best photo editing app for someone who shoots photos with a non-iPhone camera. But if you only shoot with an iPhone, Lightroom falls short to Darkroom’s iOS-first functionalities. Darkroom does a better job of bringing more out of your iPhone photos than either Lightroom or Pixelmator Photo, and it does so with all the latest iPadOS features. Darkroom is no slouch.

And if neither of these fit the bill, or if you’re wanting to spend the least amount of money on any app in this review, take a look at Pixelmator Photo. The synergy of photo editing with the power of the iPad’s on-board chip yields an algorithmic approach to photo editing that isn’t duplicated anywhere else on the platform. For $, Pixelmator Photo is an app you should try, even if it doesn’t become your end game photo editing app.

Lightroom for iPad

Lightroom for iPad

$0/

For photographers on the general photography journey — from smartphone photography through to point-and-shoot, mirrorless, and DSLR photography — Adobe Lightroom for iPad is likely to be the last photo editing app you ever need.

App Store $0
Источник: [mlbjerseyschina.us]
Unsplash". 1 January Archived from the original on 1 January Retrieved 19 January
  • ^"Unsplash Free High-Resolution Photos". 26 May Archived from the original on 26 May Retrieved 19 January
  • ^CC0 Universal, section 2
  • ^Ifking, Emma. "The first fully crowd-sourced open book". IT Key Media. Retrieved 8 September
  • ^Unsplash. "Unsplash Book". mlbjerseyschina.us. Retrieved 20 June
  • ^MacKay, Jory. "Want to be a published author?". Crew Blog. Retrieved 27 July
  • ^ abUnsplash. "Unsplash API". mlbjerseyschina.us. Retrieved 17 August
  • ^TimeOut Toronto. "Unsplash Toronto Photo Walk". TimeOut. Retrieved 1 January
  • ^"History". Unsplash. Retrieved 17 January
  • ^Unsplash. "Unsplash Local". mlbjerseyschina.us. Retrieved 11 January
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    Greg Barsh
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    Webpage reorganized on December 5, The substance of the data policy has not changed unless otherwise noted.

    Источник: [mlbjerseyschina.us]
    Unsplash". 1 January Archived from the original on 1 January Retrieved 19 January
  • ^"Unsplash Free High-Resolution Photos". 26 May Archived from the Photo Editors Archives - Malik Softs on 26 May Retrieved 19 January
  • ^CC0 Universal, section 2
  • ^Ifking, Emma. "The first fully crowd-sourced open book". IT Key Media. Retrieved 8 September
  • ^Unsplash. "Unsplash Book". mlbjerseyschina.us. Retrieved 20 June
  • ^MacKay, Jory. "Want to be a published author?". Crew Blog. Retrieved 27 July
  • ^ abUnsplash. "Unsplash API". mlbjerseyschina.us. Retrieved 17 August
  • ^TimeOut Toronto. "Unsplash Toronto Photo Walk". TimeOut. Retrieved 1 January
  • ^"History". Unsplash. Retrieved 17 January
  • ^Unsplash. "Unsplash Local". mlbjerseyschina.us. Retrieved 11 January
  • External links[edit]

    Источник: [mlbjerseyschina.us]

    “Today everything exists to end in a photograph,” Susan Sontag wrote in her seminal book “On Photography.” This was something I thought about when I recently read that Google was making its one-hundred-and-forty-nine-dollar photo-editing suite, the Google Nik Collection, free. This photo-editing software is as beloved among photographers as, say, Katz’s Deli is among those who dream of pastrami sandwiches.

    Before Google bought it, Photo Editors Archives - Malik Softsthe collection cost five hundred dollars. It is made up of seven pieces of specialized software that, when used in combination with other photo-editing software, such as Adobe Photoshop or Adobe Lightroom, give photographers a level of control akin to that once found in the darkroom. They can mimic old film stock, add analog photo effects, or turn color shots into black-and-white photos. The suite can transform modestly good photos into magical ones. Collectively, Adobe PageMaker 7.0.2 Crack Free incl Keygen Full Version 2021 intellectual sophistication is that of a chess grand master. I don't mind paying for the software, and neither do thousands of photographers and enthusiasts. So, like many, I wondered, why would Google make it free?

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    “The giveaway is bad news, as it means the software they paid for has almost [certainly] reached the end of the line in terms of updates,” wrote PC World. And, as Google explained in the blog post announcing the news, the company will “focus our long-term investments in building incredible photo editing tools for mobile.” That means Google Photos, the company's tool for storing and sorting, and Nik’s own Snapseed app for mobile phones.

    Google's comments—disheartening as they might be—reflect the reality of our shifting technologies. Sure, we all like listening to music on vinyl, but that doesn’t mean streaming music on Spotify is bad. Streaming just fits today’s world better. I love my paper and ink, but I see the benefits of the iPad and Apple Pencil. Digital photography is going through a similar change, and Google is Photo Editors Archives - Malik Softs to refocus.

    To understand Google’s decision, one needs to understand how our relationship with photographs has changed. From analog film cameras to digital cameras to iPhone cameras, it has become progressively easier to take and store photographs. Today we don’t even think twice about snapping a shot. About two years ago, Peter Neubauer, the co-founder of the Swedish database company Neo Technology, pointed out to me that photography has seen the value shift from “the stand-alone individual aesthetic of the artist to the collaborative and social aesthetic of services Aiseesoft FoneLab For Android 10.2.82 Crack + Serial Key Full Download 2021 Facebook and Instagram.” In the future, he said, the “real value creation will come from stitching together photos as a fabric, extracting information and then providing that cumulative information as a totally different package.”

    His comments make sense: we have come to a point in society where we are all taking too many photos and spending very little time looking at them.

    “The definition of photography is changing, too, and becoming more of a language,” the Brooklyn-based artist and professional photographer Joshua Allen Harris told me. “We’re attaching imagery to tweets or text messages, almost like a period at the end of a sentence. It’s enhancing our communication in a whole new way.”

    In other words, “the term 'photographer' is changing,” he said. As a result, photos are less markers of memories than they are Web-browser bookmarks for our lives. And, just as with bookmarks, after a few months it becomes hard to find photos or even to navigate back to the points worth remembering. Google made hoarding bookmarks futile. Today we think of something, and then we Google it. Photos are evolving along the same path as well.

    Humans have two billion smartphones, and, based on the ultra-conservative assumption that we each upload about two photos a day to various Internet platforms, that means we take about four billion photographs a day. It's hard to imagine how many photos total are sitting on our devices.

    Thanks to our obsession with photography—and, in particular, the cultural rise of selfies—the problem of how to sort all these images has left the realm of human capabilities. Instead, we need to augment humans with machines, which are better at sifting through thousands of photos, analyzing them, finding commonalities, and drawing inferences around moments that matter. Machines can start to learn our style of photography.

    Google Photos, a service the company has fully committed to, is built to do just that—organize and enhance maddeningly large photo libraries. Upload your photos Photo Editors Archives - Malik Softs Google’s Cloud and the program will sort through them, remove duplicates, pick out the best ones, tag them, build albums of your vacations, and create animated GIFs for you to share with others. The Assistant feature even edits your photos. The human just has to dump a lot of stuff in a pile; the machine Photo Editors Archives - Malik Softs care of the rest.

    The more photos Google has, the easier it is for its algorithms to learn and become even more precise and effective at the job of creatively editing. I worry about Google's data ethics and about the idea of handing over the corpus of my life, but I can't deny that it is exceptional at making sense of my ever-growing photo library, Photo Editors Archives - Malik Softs. Facebook, too, is clever at arranging photos along the axis of relationships and time. This is a moment for incredible automation, because of the confluence of affordable and large-scale parallel computation, the increased availability of bigger data sets, and advanced deep-learning algorithms.

    It's not just improved technological capabilities bringing about this shift. Google, Facebook, and Instagram are also reacting to a larger shift away from desktop-oriented computing to always-on computing via our Chromebooks, phones, tablets, and other devices. These devices essentially need software that is built to work with the Cloud, not with one machine on your desk. The functionality of the desktop-centric Nik Collection and its plugins is going to be and should be shoved into mobile apps such as Snapseed and VSCO. Just as apps like Instagram and devices like iPhone made us all able to take decent photos, the new intelligent software should make all our shots effortlessly better, as well as much easier to find and share.

    The amateur in me Category: Driver Updater thrilled by the Photo Editors Archives - Malik Softs of living in the Cloud, editing on the go. The purist in me wonders if, in the future, desktop photo editing will be like the film-photography revival of today—a luxury to feed our nostalgia, a wistful effort to exercise human control over a task machines have taken over from us. I wonder what Sontag would make of that.

    Источник: [mlbjerseyschina.us]

    Unsplash

    copyright-free stock photography website

    Not to be confused with Usplash.

    Unsplash is a website dedicated to sharing stock photography under the Unsplash license. Sinceit has been owned by Getty Images. The website claims overcontributing photographers and generates more than 16 billion photo impressions per month on their growing library of over million photos.[1] Unsplash has been cited as one of the world's leading photography websites by Forbes, Entrepreneur Magazine, CNET, Medium and The Next Web.[2][3][4][5][6]

    Unsplash allows photographers to upload photos to its website, which are then curated by a team of photo editors. The permissive copyright terms on its photos have led to Unsplash becoming one of the largest photography suppliers on the internet,[7] with its members' photos frequently appearing on articles. Nevertheless, their decision to stop using a Creative Commons Zero license in attracted criticism, as it took aroundimages out of the commons. The Unsplash license Photo Editors Archives - Malik Softs incompatible with Creative Commons licenses, preventing use on sites like Wikipedia.

    In FebruaryUnsplash changed their license terms to restrict the sale of photos without first updating, modifying, or otherwise incorporating new creative elements into the photos, prohibiting selling unaltered copies, including selling the photos as prints or printed on physical goods.[8]

    In DecemberUnsplash for Brands was launched, where advertisers can share branded images on Unsplash.[9]

    In MarchUnsplash announced it was being acquired by Getty Images.[10]

    History[edit]

    Initially a pioneer of the copyright-free photography model,[11] Unsplash was created in by Montreal-based entrepreneur Mikael Cho. While creating a new homepage for his company Crew, Cho was unable to find a suitable stock photo and hired a photographer instead. Afterwards, Cho posted the outtakes from his company photoshoot on Tumblr, inviting people to use them as they saw fit.[13] Unsplash received more than 50, visits on its first day.

    While Cho supplied the first batch of Unsplash photos, the site is now sustained by community contributions from amateur and professional photographers. Due to the volume of photo submissions, the site employs an editorial team and "curators" picked from the Unsplash community, including Guy Kawasaki, Nas, Khoi Vinh, Amanda Hesser and Om Malik.[14]

    Before Junephotos uploaded to Unsplash were made available under the Creative Commons zero license, which is a public domain equivalent license and a waiver, which allowed individuals to freely reuse, repurpose and remix photos for their own projects. This was changed in June ,[15] and photos are now made available under the Unsplash copyright license, which imposes some additional restrictions.[16]

    On 18 FebruaryUnsplash changed its license terms to restrict the sale of photos without first updating, modifying, Photo Editors Archives - Malik Softs otherwise incorporating new creative elements into the photos, prohibiting selling unaltered copies, including selling the photos as prints or printed on physical goods.

    In MarchUnsplash was acquired by Getty Images for an undisclosed sum. Unsplash will continue to operate as a standalone brand and division of Getty Images with Cho in charge.[17]

    Licensing[edit]

    An example of a CC0 image added before the license change.other images can only be identified by hand.

    Unsplash photos are covered by the Unsplash license. The Unsplash license prevents users from using photos from Unsplash in a similar or competing service.[18] While it gives downloaders the right to "copy, modify, distribute and use the photos for free, including commercial purposes, without asking permission from or providing attribution to the photographer or Unsplash"[16] the Unsplash terms of service prohibit selling unaltered copies, including selling the photos as prints or printed on physical goods.[19]

    Before JuneUnsplash photos were covered by the Creative Commons zero license.[20][21][22]

    Aroundimages were lost to the public domain. It was not possible to segregate or find which images had been available as CC0 prior to the license change due to restrictions on the use of Unsplash's API. At the time of the license change, Creative Commons Director Ryan Merkley asked that "[i]n order to ensure that the commons is maintained, we hope that Unsplash will either a) properly mark all the works shared using CC0 and/or b) make available a full archive of the CC0 works so they can be shared on a platform that supports open licensing".[23] To date, Photo Editors Archives - Malik Softs, Unsplash have declined to make these works reavailable or easily identifiable by machines.

    The Unsplash license is incompatible with Creative Commons licenses, meaning that content from Unsplash cannot be published under a Creative Commons license without additional permissions from the original authors.[23] Unsplash actively prevents authors from offering their content under Creative Commons licenses, for instance by deleting references to such licenses from comments.[citation needed]

    The lack of attribution for Unsplash photos have been the subject of controversy among photography circles,[24] due to some companies using free Unsplash photography for profit without compensating the photographers. Unsplash itself has stated that it does not support the practice.[16]

    Using the Internet Archive, one can still find images published before June as indicated.[25][26]

    This is also a CC0 Picture uploaded in using the Internet Archive (mlbjerseyschina.us)

    Under the terms of the CC0 declaration, which states that a surrender into the public domain under CC0 is irrevocable, such images remain in the public domain forever. [27]

    Book[edit]

    Inwhile still a CC0 business, Unsplash released the Unsplash Book, the world's "first ever fully crowd-sourced" book.[28] The book's photos, essays, and funding were all contributed by Unsplash's community.[29] The book raised $, on Kickstarter and included contributions from Harvard law professor and CC0 inventor Lawrence Lessig, and designer Tobias van Schneider.[30]

    Unsplash API[edit]

    In addition to its website, Unsplash provides a public application programming interface (API) that answers more than billion photo requests per month.[31] Some of the products using the Unsplash API include Medium, Trello, Squarespace, CodePen, Square as well as Unsplash own series of products such as Unsplash for iOS, Unsplash Instant, an extension for Google Chrome that loads Unsplash photos in new tabs and Unsplash for Apple TV.[31]

    Unsplash Local[edit]

    Beyond its website and API, Photo Editors Archives - Malik Softs, Unsplash has hosted photo walks in cities around the world including Tokyo, Montreal, Toronto and Boston.[32][33] The photo walks are hosted by guides from the Unsplash community who show participants the best places to take photos in their city, how to use their cameras, and how to compose better photos.[34]

    References[edit]

    1. ^Unsplash. "Stats". mlbjerseyschina.us. Retrieved 26 September
    2. ^Laurinavicius, Photo Editors Archives - Malik Softs, Tomas. "33 Epic Sites With Breathtaking Free Stock Photos". Forbes. Retrieved 5 January
    3. ^Ark, Casey. "14 Amazingly Free Stock Photo Websites". Entrepreneur. Retrieved 19 September
    4. ^Martin, Taylor. "Use these 7 sites to keep your desktop wallpaper fresh". CNET, Photo Editors Archives - Malik Softs. Retrieved 4 November
    5. ^Senos, Dustin, Photo Editors Archives - Malik Softs. "Stock photos that don't suck". Medium. Retrieved 10 December
    6. ^Zee (14 August ). "Unsplash is a site full of images you can freely use for your next startup's splash page". The Next Web. Retrieved 4 January
    7. ^Czikk, Joseph (March ). "Unsplash: We're the most viral photo site". Montreal in Technology. Retrieved 10 June
    8. ^Unsplash (6 March ). "The Unsplash SNMPc Network Manager Enterprise Edition 5.1.3 crack serial keygen. Unsplash Blog. Retrieved 15 November
    9. ^Ha, Anthony (10 December ). "Unsplash is building an ad business around branded stock photos". TechCrunch. Retrieved 30 March
    10. ^"Unsplash is being acquired by Getty Images". Unsplash. 30 March Retrieved 2 September
    11. ^Webb, Scott, Photo Editors Archives - Malik Softs. "Free stock photography websites photographers must know ASAP". Retrieved 19 December
    12. ^Bourel, Fanny. "Mikael Cho&#;: Une tenacité payante". Les Affaires. Retrieved 30 October
    13. ^Unsplash. "Unsplash Collections". mlbjerseyschina.us. Retrieved 11 January
    14. ^"License

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