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Group Sparse Coding for Image Denoising

2022-12-22 06:25:53
Luoyu Chen, Fei Wu
arXiv_CV
           
Abstract

Group sparse representation has shown promising results in image debulrring and image inpainting in GSR [3] , the main reason that lead to the success is by exploiting Sparsity and Nonlocal self-similarity (NSS) between patches on natural images, and solve a regularized optimization problem. However, directly adapting GSR[3] in image denoising yield very unstable and non-satisfactory results, to overcome these issues, this paper proposes a progressive image denoising algorithm that successfully adapt GSR [3] model and experiments shows the superior performance than some of the state-of-the-art methods.

Abstract (translated)

URL

https://arxiv.org/abs/2212.11501

PDF

https://arxiv.org/pdf/2212.11501.pdf

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