IEEE Access | |
Cartoon and Texture Image Decomposition Driven by Weighted Curvature | |
Wanqing Shang1  Jianlou Xu1  Yuying Guo1  | |
[1] School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China; | |
关键词: Cartoon-texture; curvature-guided; adaptive weighting; divergence-free vector; | |
DOI : 10.1109/ACCESS.2021.3115779 | |
来源: DOAJ |
【 摘 要 】
In this paper, we propose a curvature-guided model with divergence-free constraints to facilitate image decomposition. Since basic TV regularization has difficulty in processing edge geometry information of cartoon image, in order to preserve the edge features, we introduce a level set curvature term to smooth the uniform area, and use the edge indicator function as the weighted regularization to preserve the edge. In addition, to control the smoothness, a gradient function is proposed to balance the edge indicator function and the curvature term. On the other hand, we find that the existing partial decomposition models measure the oscillation function with the
【 授权许可】
Unknown