Total Variation Regularization and Fast Algorithms Based on Alternating Direction Method
Total variation regularization is popular in image reconstruction due to its edge-preserving property.We propose an linearized alternating direction method to solving problems in image reconstruction with total variation regularization.The algorithm effectively combines an alternating direction technique to minimize the augmented Lagrangian function at each iteration.When the resulting subproblems do not have closed-form solutions,we propose to linearize these subproblems such that closed-form solutions of these linearized subproblems can be easily derived.Numerical results on image inpainting and image debluring show that the proposed algorithm is fast and efficient.
Total variation Image deblurring Image inpainting Variable splitting Alternating direction method
YANG Min
College of Automation,Nanjing University of Posts and Telecommunications,Nanjing 210003
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
4866-4869
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）