一种基于多通道联合估计的非局部均值彩色图像去噪方法  

Nonlocal Means Method Based on Multichannel Joint Estimation for Color Image Denosing

作　　者：王翔[1] 干宗良[1] 陈昌红[1] 刘峰[1] 

机构地区：[1]南京邮电大学图像处理与图像通信江苏省重点实验室,南京210003

出　　处：《数据采集与处理》2017年第6期1187-1197,共11页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(60802021;61172118;61271240)资助项目;江苏省高校自然科学重点研究项目(13KJA510004)资助项目;江苏省自然科学基金青年基金(BK20130867)资助项目;江苏省高校自然科学研究(12KJB510019)资助项目

摘　　要：提出一种基于多通道联合估计的非局部均值彩色图像去噪方法,包括彩色通道联合去噪和彩色通道融合去噪两个步骤:在彩色通道联合去噪步骤,采用经典的彩色图像非局部均值去噪算法对噪声彩色图像去噪,得到预去噪图像作为彩色通道融合去噪步骤的输入;在彩色通道融合去噪步骤,采用广义多通道非局部均值去噪算法对预去噪图像再次去噪,去噪过程应用预去噪图像三通道高频成分的相似性。实验结果表明,与其他经典彩色图像去噪方法相比,本文方法在主观和客观上均具有竞争性。A nonlocal means method based on multichannel joint estimation for color image denosing is proposed, including two steps as color channel combination filtering and color channel fusion filtering. In the step of color channel combination filtering, the noisy color image is denoised by the classical nonloeal means of color（NLMC）, from which the pre-denoised image is obtained as the input of color channel fusion filtering step. In the step of color channel fusion filtering, the pre-denoised image is denoised once more by generalized multichannel nonlocal means（NLM）, and the similarity between the high frequency components of the pre-denoised image＇s RGB channels is used in the denosing process at the same time. Experimental results demonstrate that the proposed method produces competitive results for both quantitative and visual comparisons with other classical color image denosing algorithms.

关 键 词：彩色图像去噪 非局部均值 彩色通道相关性 迭代算法 

分 类 号：TN919.8[电子电信—通信与信息系统]