An Efficient SVD Based Method for Image Denoising
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An Efficient SVD Based Method for Image Denoising
Abstract—Nonlocal self-similarity of images has attracted considerable interest in the field of image processing and has led to several state-of-the-art image denoising algorithms, such as
block matching and 3-D, principal component analysis with local pixel grouping, patch-based locally optimal wiener, and spatially adaptive iterative singular-value thresholding. < final year projects >
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