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An Efficient Variational Method for Image Restoration
2013
Abstract and Applied Analysis
Image restoration is one of the most fundamental issues in imaging science. Total variation regularization is widely used in image restoration problems for its capability to preserve edges. In this paper, we consider a constrained minimization problem with double total variation regularization terms. To solve this problem, we employ the split Bregman iteration method and the Chambolle's algorithm. The convergence property of the algorithm is established. The numerical results demonstrate the
doi:10.1155/2013/213536
fatcat:nkm36du6eva37lrcnpctygowvm