An Accelerated Two-Step Iteration Hybrid-norm Algorithm for Image Restoration

作者:Wang Yong*; Xu Wenjuan; Yang Xiaoyu; Qiao Qianqian; Jia Zheng; Gao Quanxue
来源:1st Chinese Conference on Computer Vision (CCCV), 2015-09-18 to 2015-09-20.
DOI:10.1007/978-3-662-48570-5_33

摘要

Linear inverse problem is an important solution frame to solve image restoration. This paper develops an accelerated two-step iteration hybrid-norm reconstruction algorithm, exhibiting much faster convergence rate and better image than iteration shrinkage/thresholding based L1 norm algorithm. In the proposed method, hybrid norm model is built for image restoration objective function. Two-step iteration accelerates objective minimization optimization. Two-step iteration hybrid-norm algorithm converges to a minimizer of hybridnorm objective function, for a given range of values of its parameters. Numerical examples are presented to validate that the effectiveness of the proposed algorithm is experimentally confirmed on problems of restoration with missing samples.

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