May 30, 2017 · The convex method can recover edges and textures, but some noise is not removed. However, our method not only preserves the fine features but ...

Abstract. Image restoration is one of the most important and essential issues in image processing. Cauchy noise in engineering application has the ...

Abstract. Image restoration is one of the most important and essential issues in image processing. Cauchy noise in engineering application has the ...

May 30, 2017 · Abstract Image restoration is one of the essential tasks in image processing. In order to restore images from blurs and noise while also ...

The convergence to a stationary point is guaranteed theoretically under certain conditions. Experimental results demonstrate that the proposed method is ...

Abstract. In this paper, we propose a proximal splitting methodology with a non-convex penalty function based on the heavy-tailed. Cauchy distribution.

Nov 3, 2022 · Theoretically, we establish the convergence of our method to a stationary point. Experimental results demonstrate that the proposed method is ...

Meanwhile, we develop the alternating direction method of multipliers algorithm to solve the proposed nonconvex model with guaranteed convergence. Experiments ...

Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees. Jin-Jin Mei, Yiqiu Dong, Ting-Zhu Huang, Wotao Yin. Journal of Scientific Computing (2018) ...

To solve this proposed tensor recovery model, we develop an effective denoising algorithm with a global convergence guarantee via the well-known nonconvex ...