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Open Source Graphics / Tips and tricks for creating graphics and retouching images with open-source software



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Overskrifter
H1 H2 H3 H4 H5 H6
29 48 27 0 1 1
  • [H1] Open Source Graphics
  • [H1] G’MIC 2.2 : New features and filters!
  • [H1] 1. Context and recent evolutions
  • [H1] 2. Fruitful collaboration with David Revoy
  • [H1] 3. Filters, filters, filters…
  • [H1] 4. Other notable improvements
  • [H1] 5. Conclusion and perspectives
  • [H1] G’MIC 2.0: A second breath for open-source image processing
  • [H1] 1. G’MIC: A brief overview
  • [H1] 2. A new versatile interface, based on Qt
  • [H1] 3. Easing the work of cartoonists…
  • [H1] 4. …Not to forget the photographers!
  • [H1] 5. And for the others…
  • [H1] 6. Overall project improvements
  • [H1] 7. What to remember?
  • [H1] G’MIC 1.7.1: When the flowers are blooming, image filters abound!
  • [H1] Christmas is already here for image processing folks…
  • [H1] Image processing made easier with a powerful math expression evaluator.
  • [H1] 1. Context and issues
  • [H1] 2. Algorithm code viewed as a complex math expression
  • [H1] 3. A toy example: Julia fractals
  • [H1] 4. A more serious example: the “Non-Local Means”
  • [H1] 5. The Vector Painting filter
  • [H1] 6. Comparison with ImageMagick’s -fx operator
  • [H1] 7. Conclusion and perspectives
  • [H1] My latest ten months working on G’MIC
  • [H1] How to code a nice user-guided foreground extraction algorithm? (Addendum)
  • [H1] How to code a nice user-guided foreground extraction algorithm?
  • [H1] Visualizing the 3D point cloud of RGB colors
  • [H2] Tips and tricks for creating graphics and retouching images with open-source software
  • [H2] Menu 1
  • [H2] 1.1. Port of the G’MIC-Qt plugin to Krita
  • [H2] 1.2. CeCILL-C, a more permissive license
  • [H2] 2.1. Improving the lineart colorization filter
  • [H2] 2.2. Color equalizer in HSI, HSL and HSV spaces
  • [H2] 2.3. Angular deformations
  • [H2] 3.1. Bring out the details without creating “halos”
  • [H2] 3.2. Different types of image deformations
  • [H2] 3.3. Artistic Abstractions
  • [H2] 3.4. “Are there any more?”
  • [H2] 4.1. A better G’MIC-Qt plugin interface
  • [H2] 4.2. Improvements in the G’MIC core
  • [H2] 4.3. New design for G’MIC Online
  • [H2] Links:
  • [H2] 4.1. CLUTs and colorimetric transformations
  • [H2] 4.2. Making the details pop out
  • [H2] 4.3. Masking by color
  • [H2] 5.1. Average and median of a series of images
  • [H2] 5.2. Deformations and “Glitch Art”
  • [H2] 5.3. Image simplification
  • [H2] 5.4. Other filters
  • [H2] G’MIC: A brief overview
  • [H2] A selection of some new filters and effects
  • [H2] Other various improvements
  • [H2] What’s next ?
  • [H2] Links:
  • [H2] 1. Overview of the G’MIC project
  • [H2] 2. Improvements of the G’MIC plug-in for GIMP
  • [H2] 3. The PatchMatch algorithm
  • [H2] 4. A more powerful expression evaluator
  • [H2] 5. An abundance of filters!
  • [H2] 6. Other notable points
  • [H2] 8. So, what’s next?
  • [H2] 1. The G’MIC Project : Context and Presentation
  • [H2] 2. New G’MIC features for color processing
  • [H2] 3. An algorithm for foreground/background extraction.
  • [H2] 4. Some new artistic filters.
  • [H2] 5. A quick view of the other improvements
  • [H2] 6. Perspectives and Conclusions.
  • [H2] Principle of the algorithm: About three months ago, I’ve added a new filter in the
  • [H2] Details of the implementation: Now I assume that the hardest work has been already done, which is the design of the GUI for letting the user place foreground/background key points. Now, we have then two known images as the input of our algorithm.
  • [H2] And now ? You know the secret of this nice (but simple) foreground extraction algorithm. So you have two options:
  • [H2] Preliminary note:
  • [H2] Understanding how the image colors are distributed:
  • [H2] Generating 3D colors distribution views with G’MIC:
  • [H2] And now ?
  • [H2] Recent Posts
  • [H3] Painterly rendering of photographs
  • [H3]
  • [H3] Reconstructing missing data from sparse samples
  • [H3] Make textures tileable
  • [H3] Image decomposition into several levels of details
  • [H3] Image denoising based on “Patch-PCA”
  • [H3] The “Droste” effect
  • [H3] Equirectangular to nadir-zenith transformation
  • [H3] 2.1. Import and export of image data via GEGL buffers
  • [H3] 2.2. Support for UTF-8 strings in widgets
  • [H3] 2.3. A more responsive interface
  • [H3] 3.1. Another filter for image Inpainting
  • [H3] 3.2. Texture re-synthesis
  • [H3] 3.3 Make seamless textures
  • [H3] 2.1. Color curves in an arbitrary color space
  • [H3] 2.2. Comics colorization
  • [H3] 2.3. B&W picture colorization
  • [H3] 2.4. Color transfer
  • [H3] 2.5. Website for analog film emulation
  • [H3] 4.1. Engrave effect.
  • [H3] 4.2. Delaunay triangulation.
  • [H3] 4.3. Other artistic filters.
  • [H3] 5.1. Global improvements and the libgmic library.
  • [H3] 5.2. New possibilities for image filtering.
  • [H3] 5.3. Improvements of the G’MIC plug-in for GIMP.
  • [H3] 5.4. G’MIC without any limits : Using the command-line interface.
  • [H3] 5.5. Other G’MIC interfaces being developed.
  • [H5] Disclaimer: This article is a duplicate of this post, originally published on the Pixls.us website, by the same authors.
  • [H6] Warning: This post contains personal thoughts about my research work in image processing. I’ll discuss about some of the issues I’m facing as an active developer of two open-source image processing frameworks (namely CImg and G’MIC). So keep in mind this will be a bit self-centered. There are high chances you find all this really boring if you are not a developer of image processing software yourself (and even if so). Anyhow, feel free to give your impressions after the reading!
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filter 229
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