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Blocking sparse method for image denoising
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DOI：10.1007/s10044-021-00974-0.png)
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Abstract
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In recent years, compressive sensing has been one promising technique for denoising images. This paper presents a new denoising model based on blocking sparsity. First, an image is blocked. Second, the split-Bregman method is used to solve for each block image. Finally, all denoised block images are combined into one image. Compared with the latest HTV, GHNS, FastATV, CSR and BM3D models, experimental results demonstrate that the proposed method is efficient, and has better denoising capability.
Keywords:
Image denoising
Split-Bregman method
Block image
Compressive sensing
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