November 2018
Intermediate to advanced
492 pages
12h 19m
English
Content preview from Hands-On Image Processing with Python
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Image inpainting
Inpainting is the process of restoring damaged or missing parts of an image. Suppose we have a binary mask, D, that specifies the location of the damaged pixels in the input image, f, as shown here:
Once the damaged regions in the image are located with the mask, the lost/damaged pixels have to be reconstructed with some algorithm (for example, Total Variation Inpainting). The reconstruction is supposed to be performed fully automatically by exploiting the information presented in non-damaged regions.
In this example, we shall demonstrate an image inpainting implementation with scikit-image restoration module's inpaint_biharmonic() ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.