April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Try to implement PCA yourself using SVD and then project an image on the dominant singular vectors (you may use the TruncatedSVD() function from scikit-learn too). Use PSNR values to compare the output (denoised) image quality for different techniques.
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