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  • 标题:Warm Start of Multi-channel Weighted Nuclear Norm Minimization for Color Image Denoising
  • 本地全文:下载
  • 作者:Xue Guo ; Feng Liu ; Yiting Chen
  • 期刊名称:IAENG International Journal of Computer Science
  • 印刷版ISSN:1819-656X
  • 电子版ISSN:1819-9224
  • 出版年度:2019
  • 卷号:46
  • 期号:4
  • 页码:575-581
  • 出版社:IAENG - International Association of Engineers
  • 摘要:The multi-channel weighted nuclear norm minimization(MCWNNM) performs excellently on color image denoising.Can we further improve the effectiveness of MCWNNM?To answer this question, we propose warm start of multi-channelweighted nuclear norm minimization (WS-MCWNNM) for colorimage denoising. In WS-MCWNNM, spatial filtering is utilizedto preprocess the noisy image, and the result of preprocessing istreated as the input of MCWNNM model to remove noise. Experimentresults show the proposed WS-MCWNNM outperformsMCWNNM both on peak signal-to-noise ratio and structuralsimilarity.
  • 关键词:low-rank; non-local self-similarity; spatial domain;filter; sparsity.
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