文章基本信息

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 等
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;