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A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising
March 5, 2024, 2:45 p.m. | Yiwen Shan, Dong Hu, Zhi Wang
cs.LG updates on arXiv.org arxiv.org
Abstract: Due to the high flexibility and remarkable performance, low-rank approximation methods has been widely studied for color image denoising. However, those methods mostly ignore either the cross-channel difference or the spatial variation of noise, which limits their capacity in real world color image denoising. To overcome those drawbacks, this paper is proposed to denoise color images with a double-weighted truncated nuclear norm minus truncated Frobenius norm minimization (DtNFM) method. Through exploiting the nonlocal self-similarity of …
abstract approximation arxiv capacity color cs.lg denoising difference eess.iv flexibility image low noise norm novel performance regularization spatial type variation world
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