摘要
针对去马赛克总变分正则化模型的不足,提出了一种改进的彩色图像去马赛克总变分模型,将彩色图像的灰度化图像引入到传统彩色图像去马赛克总变分正则化模型中,利用原始对偶不动点算法求解该模型.数值实验结果表明了该模型和算法的有效性和优越性.
An improved model is proposed for making up for the deficiency of the demosaicking total variational regularization model.The grayscale image of the color image is introduced into the traditional demosaicking total variational regularization model.The primal-dual fixed point algorithm is used to deal with the above model.Experimental results show that the effectiveness and advantages of the model.
作者
刘铭丽
王希云
LIU Ming-li;WANG Xi-yun(College of Applied Sciences,Taiyuan University of Science and Technology,Taiyuan 030024,Shanxi,China)
出处
《山西师范大学学报（自然科学版）》
2019年第3期25-29,共5页
Journal of Shanxi Normal University(Natural Science Edition)
基金
山西省自然科学基金(2008011013)
山西省“131”领军人才工程项目
关键词
去马赛克
总变分
灰度图像
原始对偶不动点算法
demosaicking
total variation
grayscale images
the primal-dual fixed point algorithm
