A nonconvex TV_q-l_1 regularization model and the ADMM based algorithm

Zhuang Fang,Tang Liming,Wu Liang,Liu Hanxin

SCIENTIFIC REPORTS（2022）

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摘要

The total variation (TV) regularization with l_1 fidelity is a popular method to restore the image contaminated by salt and pepper noise, but it often suffers from limited performance in edge-preserving. To solve this problem, we propose a nonconvex TV_q-l_1 regularization model in this paper, which utilizes a nonconvex l_q -norm (0更多

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