April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Restoring an image with the Wiener filter
The Wiener filter is Mean Squared Error (MSE) filtering that incorporates both the degradation function and the statistical characteristics of noise. The underlying assumption is that the noise and image are uncorrelated. It optimizes the filter so that MSE is minimized. In this recipe, you will learn how to implement the Wiener filter using functions from scikit-image restoration module and how to apply the filter to restore a degraded image, both in a supervised and unsupervised manner.
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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.