Add example with anisotropic diffusion #469
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Thanks for the example. For the competency test it looks good. For submission to GIL as example, it needs copyright notice, Jamfile/CMakeLists.txt update, some formatting (even minimal using the .clang-format), according to GIL guidelines. However, it will not be accepted before the GSoC students selection is completed. |
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This version of the diffusion has precision loss which accumulates in a loop and results in a visible difference
This version utilizes gray64f version defined in io/typedefs.hpp. It does manual copy and conversions to avoid possible bugs in the library
Compress code without losing too much clarity
The diffusivity calculation doesn't make use of it, thus removed
This commit makes input image, output image, iteration count and kappa customizable through command line
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Closing as it will be superseded by #500 . |
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Description
This commit implements anisotropic diffusion as example program. The main difference from Gaussian smoothing is that it isn't a linear, as it adapts the scaling depending on the region surrounding the pixel. In general it seems to be more careful about the edges, and relatively easy to implement .
This is my solution to a GSoC competency test.
References
http://www.sci.utah.edu/~gerig/CS7960-S2010/materials/Perona-Malik/anisotropic_diffusion-Book.pdf
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