Group Sparse Coding for Image Denoising

• URL: http://arxiv.org/abs/2212.11501v1
• Date: Thu, 22 Dec 2022 06:25:53 GMT
• Title: Group Sparse Coding for Image Denoising
• Authors: Luoyu Chen and Fei Wu
• Abstract summary: Group sparse representation has shown promising results in image debulrring and image inpainting in GSR [3] 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.
• Score: 12.684545950979187
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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