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- Title
Video restoration based on PatchMatch and reweighted low-rank matrix recovery.
- Authors
Xu, Bo-Hua; Cen, Yi-Gang; Wei, Zhe; Cen, Yi; Zhao, Rui-Zhen; Miao, Zhen-Jiang
- Abstract
In this paper, a new video restoration approach is proposed. By using a modified version of random PatchMatch algorithm, nearest-neighbor patches among the video frames can be grouped quickly and accurately. Then the video restoration problem can be boiled down to a low-rank matrix recovery problem, which is able to separate sparse errors from matrices that possess potential low-rank structures. Furthermore, the reweighted low-rank matrix model is used to improve the performance of video restoration by enhancing the sparsity of the sparse matrix and the low-rank property of the low-rank matrix. Experimental results show that our system achieves good performance in denosing of joint multi-frames and inpainting in the presence of small damaged areas.
- Subjects
IMAGE reconstruction; IMAGE denoising; IMAGE processing; LOW-rank matrices; COMPRESSED sensing
- Publication
Multimedia Tools & Applications, 2016, Vol 75, Issue 5, p2681
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-015-2545-1