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An Efficient SVD-Based Method for Image Denoising

An Efficient SVD-Based Method for Image Denoising

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 An Efficient SVD-Based Method for Image Denoising

 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. In this paper, we propose a computationally simple denoising algorithm using the nonlocal self-similarity and the low-rank approximation (LRA). The proposed method consists of three basic steps.


 


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  • Model: PROJ7044
  • 999 Units in Stock
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This product was added to our catalog on Tuesday 30 May, 2017.

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