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Thanks for this - only took me about 10 minutes to modify things so that instead of working with only RGB images it works with 32 bit or 64 bit floating point radio astronomy FITS images. It's giving me better inpainting that does the biharmonic equation method used in the skimage.restoration inpaint function.
You might be interested to know that your version seems to perform more reliably than does the openCV implementation of the TELEA algorithm. Every once in a while the openCV implementation seems to just 'speckle' the image rather do proper inpainting. I have to file a bug report with openCV about the issue.
The text was updated successfully, but these errors were encountered:
Thanks for this - only took me about 10 minutes to modify things so that instead of working with only RGB images it works with 32 bit or 64 bit floating point radio astronomy FITS images. It's giving me better inpainting that does the biharmonic equation method used in the skimage.restoration inpaint function.
You might be interested to know that your version seems to perform more reliably than does the openCV implementation of the TELEA algorithm. Every once in a while the openCV implementation seems to just 'speckle' the image rather do proper inpainting. I have to file a bug report with openCV about the issue.
The text was updated successfully, but these errors were encountered: