Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4639930 | Journal of Computational and Applied Mathematics | 2011 | 9 Pages |
Abstract
We propose a new fast algorithm for solving a TV-based image restoration problem. Our approach is based on merging subspace optimization methods into an augmented Lagrangian method. The proposed algorithm can be seen as a variant of the ALM (Augmented Lagrangian Method), and the convergence properties are analyzed from a DRS (Douglas–Rachford splitting) viewpoint. Experiments on a set of image restoration benchmark problems show that the proposed algorithm is a strong contender for the current state of the art methods.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Dai-Qiang Chen, Li-Zhi Cheng, Fang Su,