摘要
将分数阶偏微分理论和CB模型相结合应用于彩色图像混合噪声去除。对于添加混合噪声的彩色图像,首先,利用MCM模型去除图像中的椒盐噪声,然后将处理后的彩色图像分解为色度C和亮度B两部分,用分数阶偏微分模型处理亮度B,而对于色度C,由于其受到单位长度的限制,在处理时非常困难,因此,在角度域中平滑色度C,这样可以避免计算时的困难,并能够提高平滑的效率,然后将处理后的亮度B和色度C合成为新的彩色图像。最后通过实验证明了该方法的有效性。
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.
出处
《计算机与数字工程》
2017年第1期147-151,共5页
Computer & Digital Engineering
基金
陕西省教育厅专项科研计划项目(编号:15JK1379)
西安航空学院科研基金资助项目(编号:2016KY1214
2014KY1210)资助
关键词
彩色图像去噪
分数阶偏微分方程
CB模型
角度域
color image denoising
fractional-order differential equation
CB color model
angle domain
