A nonconvex nonsmooth regularization method with structure tensor total variation

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• 作者：Zhuo-Xu Cui ^{zhuoxucui@whu.edu.cn} ; Qibin Fan ; ^{qbfan@whu.edu.cn} ; Yichuan Dong ^{ycdong@whu.edu.cn} ; Tong Liu ^{tongliu@whu.edu.cn}
• 关键词：Nonconvex nonsmooth regularization ; Structure tensor ; Image restoration and reconstruction ; Alternating minimization methods
• 刊名：Journal of Visual Communication and Image Representation
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：43
• 期：Complete
• 页码：30-40
• 全文大小：2132 K
• 卷排序：43

文摘

A novel nonconvex nonsmooth regularization method for vector-value image restoration and reconstruction is proposed. An alternating minimization scheme is developed for the proposed nonconvex nonsmooth model. The convergence of the sequence which generate by the alternating minimization scheme is proved.