期刊
SIAM JOURNAL ON IMAGING SCIENCES
卷 13, 期 3, 页码 1179-1210出版社
SIAM PUBLICATIONS
DOI: 10.1137/19M128898X
关键词
cartoon-texture decomposition; patch recurrence; regularization method
类别
资金
- National Natural Science Foundation of China [61872151, 61672241, U1611461]
- Natural Science Foundation of Guangdong Province [2017A030313376]
- Science and Technology Program of Guangdong Province [2019A050510010]
- Science and Technology Program of Guangzhou [201802010055]
- Singapore MOE AcRF [R146000229114, MOE2017-T22-156]
Cartoon-texture image decomposition is about decomposing an image into the linear sum of two layers: cartoon and texture, where the key challenge is how to resolve the ambiguity between two layers. It is observed that the recurrence of texture patches occurs along multiple orientations, and the recurrence of cartoon patches only occurs along certain orientations. This paper proposes to separate these two layers by exploiting their orientation characteristics of image patch recurrence, i.e., isotropy property of texture patch recurrence versus anisotropy property of cartoon patch recurrence. Together with the sparsity-based regularizations in the image domain, a variational method is then developed in this paper for cartoon-texture decomposition. The experiments show that the proposed method noticeably outperforms many well-established ones on test images.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据