现代电子技术Issue(22)：81-84,4.
基于非局部均值的彩色图像去噪
Color image denoising based on non-local means
摘要
Abstract
Since the existing denoising methods of color images are usually hierarchical denoising of every channel,and they don’t consider the correlation of RGB channels,a non-local mean(NLM)denoising method of color image is proposed on the basis of similarity estimation of RGB channels. When non-local means filtering is used to remove the noise of color image, the target pixel is taken as the center to determine its support region,and then calculate the weight according to similarity esti-mation of RGB channels and perform the filtering of every channel by the one-by-one filtering method. A new noise parameter evaluation method is proposed to estimate the parameter of Gaussion noise in color image. Experimental results show that the al-gorithm proposed in this paper,compared with the traditional algorithms,has improved the PSNR and FSIM more,and it is necessary to consider the correlation among RGB channels in the process of denoising. The experimental results also proved the effectiveness of the new algorithm.关键词
非局部均值/彩色图像去噪/RGB通道/相似度估计Key words
non-local mean/color image denoising/RGB channel/similarity estimation分类
信息技术与安全科学引用本文复制引用
郭全占,司丹丹,胡园园,干宗良..基于非局部均值的彩色图像去噪[J].现代电子技术,2013,(22):81-84,4.基金项目
国家自然科学基金资助项目（61071166；61172118；61071091）；江苏省高校自然科学重点研究项目（13KJA510004）；江苏省自然科学基金青年基金（BK20130867）；省属高校自然科学研究项目 （）
