期刊
IEEE TRANSACTIONS ON IMAGE PROCESSING
卷 27, 期 10, 页码 5192-5203出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2018.2852741
关键词
Image decomposition; texture suppression; curvature-guided filtering; total variation; adaptive exponent
A preliminary structure + texture image decomposition is very useful for a number of digital image processing tasks, as different strategies are supposed to be employed for processing the structure and texture image components. In this paper, a new variational structure + texture image decomposition method is developed. The main ingredients of the proposed approach are: 1) using a low-pass filtered level-set curvature of the input image as a guidance image and 2) texture suppressing by minimizing a variable exponent energy, where the variable exponent is learned from the result of the curvature-guided image filtering. Numerical experiments demonstrate that the method is competitive with the current state of the art in structure + texture image decomposition. Several applications are considered.
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