Total Variation Deblurring Algorithm Extension in Third-order Tensor Space

摘要：

　　The deblurring algorithm based on the total variation (TV) model can better preserve sharp edges.However,the existing algorithms could not really deal with the multichannel images.In this paper,we extend the general TV model in matrix space to tensor TV model in third-order tensor space,called as t-TV model,utilizing a new tensor product,t-product.And an efficient algorithm,based on alternating minimization,is adopted to solve the t-TV model.The proposed method retains the advantages of the general TV regularization.Meanwhile it could directly deal with the multichannel images in tensor framework.Experimental results show that the proposed method can achieve satisfactory performance on gray and color blurred images.

关键词： deblurring total variation tensor t-product t-TV

作者: Hong Liu Benyong Liu

作者单位: Institute of Intelligent Information Processing Guizhou University Guiyang, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 221-224

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）