文献类型：会议论文

英文题名：Ringing Reduction in Image Restoration Using Cyclic Boundary

作者：Cao, Shan[1];Zhang, Qi[1];He, Ning[2];Lu, Ke[3]

第一作者：Cao, Shan

通讯作者：Cao, S[1]

机构：[1]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China;[2]Beijing Union Univ, Coll Informat Technol, Beijing 100101, Peoples R China;[3]Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]corresponding author), Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China.|[11417103]北京联合大学北京市信息服务工程重点实验室;[11417]北京联合大学;

会议论文集：8th International Conference on Internet Multimedia Computing and Service (ICIMCS)

会议日期：AUG 19-21, 2016

会议地点：Xidian Univ, State Key Lab Integrated Serv Networks, Xian, PEOPLES R CHINA

主办单位：Xidian Univ, State Key Lab Integrated Serv Networks

语种：英文

外文关键词：Ringing reduction; image restoration; cyclic boundary

摘要：Ringing artifacts are a problem that cannot be ignored in blind image restoration. They seriously degrade the quality of the restored image, and make it difficult to recover the image in the subsequent processing. In this paper, a method to reduce ringing for image restoration based on the Richardson-Lucy algorithm and cyclic boundaries is proposed. First, an image-adaptive median filter is used to filter the image. The boundaries of the image are then extended. Finally, the Richardson-Lucy algorithm is used to restore the image. The proposed method is compared with the Neumann boundary condition and antireflective boundary extension methods. Experimental results show that the proposed algorithm achieves better ringing reduction than the other two algorithms.