多通道非凸低秩近似及其在彩色图像去噪上的应用  

Multi-channel nonconvex low rank approximation and itsapplication in color image denoising

作　　者：付鹏程 陈秀宏[1] 牛强 孙慧强 FU Pengcheng;CHEN Xiuhong;NIU Qiang;SUN Huiqiang(School of Digital Media,Jiangnan University,Wuxi 214122,China)

机构地区：[1]江南大学数字媒体学院,江苏无锡214122

出　　处：《传感器与微系统》2020年第5期156-160,共5页Transducer and Microsystem Technologies

基　　金：2017年江苏省研究生科研创新计划资助项目(SJCX17_0506,KYCX17_1500)。

摘　　要：提出一种将多通道优化和非凸低秩矩阵近似进行融合的彩色图像去噪算法。有效地利用颜色通道上不同的噪声特性,通过引入权重矩阵自适应地处理RGB通道中的不同噪声。并引入非凸函数MCP代替核范数来解决低秩矩阵最小化问题。对仿真和真实数据集的实验表明,所提出的多通道非凸低秩近似最小化模型明显优于其他竞争的去噪算法。A color image denoising algorithm that combines multi-channel optimization and non-convex low-rank matrix approximation is proposed.The proposed improved multi-channel denoising model effectively utilizes different noise characteristics on the color channel and adaptively processes different noises in the RGB channel by introducing weight matrix.The non-convex function MCP is introduced instead of the nuclear norm to solve the problem of low rank matrix minimization.Experiments on simulations and real data sets show that the proposed multi-channel non-convex low-rank approximation minimization model is significantly better than other competing denoising algorithms.

关 键 词：多通道优化 非凸低秩矩阵近似 非局部 权重矩阵 线性等式约束 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]