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A task of blind evaluation of additive Gaussian noise variance in images is considered. One stage of many methods used for this purpose is obtaining local estimates of noise variance in blocks (scanning windows) of small size tessellating an image. For this purpose, we propose to use robust estimators of sample scale. Several such estimators are studied for cases of pure additive noise and mixed additive...
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