A non–convex total generalized variation model for image denoising

Q3 Physics and Astronomy

Cybernetics and Physics Pub Date : 2023-06-30 DOI:10.35470/2226-4116-2023-12-1-70-81

C. Pham, T. T. T. Tran, Hoai Phuong Dang, Van Ha Mai

引用次数: 0

Abstract

We propose an effective regularization model based on second–order total generalized variation for image restoration with mixed Poisson–Gaussian noise. An efficient alternating minimization algorithm is employed to solve the considered model. Finally, provided numerical results show that our proposed model can preserve more details and get higher image visual quality than recent state-of-the-art methods.

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一种用于图像去噪的非凸全广义变异模型

我们提出了一种基于二阶全广义变异的有效正则化模型，用于混合泊松-高斯噪声的图像恢复。采用一种有效的交替最小化算法来求解所考虑的模型。最后，提供的数值结果表明，与最近最先进的方法相比，我们提出的模型可以保留更多的细节，并获得更高的图像视觉质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.