A hybrid regularizers model for multiplicative noise removal

Q3 Physics and Astronomy

Cybernetics and Physics Pub Date : 2021-06-30 DOI:10.35470/2226-4116-2021-10-1-40-50

T. T. T. Tran, C. Pham, D. Vo, Duc-Hoang Vo

引用次数: 2

Abstract

In this paper, we propose a variational method for restoring images corrupted by multiplicative noise. Computationally, we employ the alternating minimization method to solve our minimization problem. We also study the existence and uniqueness of the proposed problem. Finally, experimental results are provided to demonstrate the superiority of our proposed hybrid model and algorithm for image denoising in comparison with state-of-the-art methods.

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一种用于乘性噪声去除的混合正则化子模型

在本文中，我们提出了一种变分方法来恢复被乘性噪声破坏的图像。在计算中，我们采用交替最小化方法来解决我们的最小化问题。我们还研究了所提出问题的存在性和唯一性。最后，给出了实验结果，证明了我们提出的混合模型和算法在图像去噪方面与最先进的方法相比的优越性。

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.