计算机与数字工程2017，Vol.45Issue(1)：147-151,5.DOI:10.3969/j.issn.1672-9722.2017.01.032
一种改进CB模型的彩色图像混合噪声去除方法
A Method for Removing Mixed Noise of Color Image by Improving CB Model
摘要
Abstract
Combing fractional-order differential theory with Chromaticity-Brightness (CB) model,in order to deal with the mixture of the salt & pepper and Gaussian noises,a novel color image denoising model is proposed.For a color image with mixed noises,the salt & pepper noise can be eliminated by the MCM model effectively.Then,the processed color image is decomposed into chromaticity component and brightness component.Secondly,fractional-order differential model is used for brightness component.The chromaticity component will be smoothed in angle domain to avoid the difficulty and to improve efficiency.Thirdly,the retorted image is got by multiplying the recovered chromaticity with recovered brightness.Finally,we proved the validity of the proposed model through the experiment.关键词
彩色图像去噪/分数阶偏微分方程/CB模型/角度域Key words
color image denoising/fractional-order differential equation/CB color model/angle domain分类
信息技术与安全科学引用本文复制引用
周千,李文胜..一种改进CB模型的彩色图像混合噪声去除方法[J].计算机与数字工程,2017,45(1):147-151,5.基金项目
陕西省教育厅专项科研计划项目(编号:15JK1379) （编号:15JK1379）
西安航空学院科研基金资助项目(编号:2016KY1214 （）
2014KY1210)资助. （）
