November 2018
Intermediate to advanced
492 pages
12h 19m
English
Content preview from Hands-On Image Processing with Python
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Summary
In this chapter, we discussed a few advanced image processing problems. We started with the seam carving algorithm and demonstrated a couple of applications of the algorithm in context-aware image resizing and object or artifact removal from images with the scikit-image library.
Next, we discussed seamless cloning with an application to copy one object from one image to another using Python and OpenCV. Then we discussed the biharmonic inpainting algorithm and applied it to restore damaged pixels in an image using the scikit-image library. After that, we discussed variational methods in image processing with an application in image denoising with scikit-image again. Next, we discussed the image quilting algorithm and its application ...
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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.