Adaptive Image Restoration via a Relaxed Regularization of Mean Curvature

Ma Mingxi; Zhang Jun; Deng ChengzhiLiu ZhaoyangWang Yuanyun

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Adaptive Image Restoration via a Relaxed Regularization of Mean Curvature

机译：Adaptive Image Restoration via a Relaxed Regularization of Mean Curvature

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摘要

In this paper, a new relaxation model based on mean curvature for adaptive image restoration is proposed. To solve the problem efficiently, an alternating direction method of multipliers (ADMMs) is proposed. Furthermore, a rigorous convergence theory of the proposed algorithm is established. We also give the complexity analysis of our proposed method. Experimental results are provided to demonstrate the effectiveness and efficiency of the proposed method over a state-of-the-art method on synthetic and natural images.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2020年第43期|3416907.1-3416907.11|共11页
作者
Ma Mingxi; Zhang Jun; Deng ChengzhiLiu ZhaoyangWang Yuanyun;
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Nanchang Inst Technol, Jiangxi Prov Key Lab Water Informat Cooperat Sens, Nanchang 330099, Jiangxi, Peoples R China;

Nanchang Inst Technol, Jiangxi Prov Key Lab Water Informat Cooperat Sens, Nanchang 330099, Jiangxi, Peoples R China|Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China;

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Adaptive Image Restoration via a Relaxed Regularization of Mean Curvature

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