液晶与显示2017，Vol.32Issue(8)：635-641,7.DOI:10.3788/YJYXS20173208.0635
一种基于L1范数的非局部变分图像复原模型
A non local total variation based on L1 norm for image recovery
摘要
Abstract
To overcome the disadvantages that non local total variation based on L2 norm doesn't consider the nonlocal gradient and can't effectively recovery image's texture, a new non local total variation based on L1 norm is proposed. The paper first analyzes the characteristics of the new algorithm, and then employs the new algorithm for image recovery. Bregman iteration scheme is used to optimize the image recovery problems. Finally, the comparing experimental results show that the proposed non local total variation model based on L1 norm reconstructs more image details and gains more 1 dB higher peak signal to noise ratio than non local total variation model based on L2 norm.关键词
图像复原/非局部变分/Bregman迭代/非局部梯度Key words
image recovery/non local total variation/bregman iteration/non local gradient分类
信息技术与安全科学引用本文复制引用
杨平先,陈明举..一种基于L1范数的非局部变分图像复原模型[J].液晶与显示,2017,32(8):635-641,7.基金项目
四川省教育厅项目(No.17ZB0302) （No.17ZB0302）
人工智能四川省重点实验室开放基金项目(No.2015RZY01 （）
2016RYY02) （）
四川理工学院科研项目(No.2015RC16)Supported by the Scientific Research Project of Sichuan University of Science and Engineering (No.2015RC16) （No.2015RC16）
Open Fund Project of Artificial Intelligence Key Laboratory of Sichuan Province (No.2015RZY01, No.2016RYY02) （No.2015RZY01, No.2016RYY02）
Project of Sichuan Provincial Department of Education (No.17ZB0302) （No.17ZB0302）
