A New Method for Choosing the Regularization Parameter of ROF Total Variation Image Denoising

机译：ROF总变化图像去噪的正则化参数选择新方法

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The total variation regularization denoising is a widely used denoising method. But the denoising effect of this method depends on the choice of the regularization parameter. In this paper, estimate parameter of ROF total variation denoising based on quantum particle swarm optimization (QPSO) algorithm is proposed. At per iteration step, we also fit a model about the optimal parameter and standard deviation of Gaussian noise. The experimental results show that the proposed method can obtain favourable denoising result and has a good performance in PSNR.

机译：总变化正则化去噪是一种广泛使用的去噪方法。但是这种方法的去噪效果取决于正则化参数的选择。提出了一种基于量子粒子群优化算法的ROF总变异去噪估计参数。在每个迭代步骤中，我们还拟合了有关最佳参数和高斯噪声标准偏差的模型。实验结果表明，该方法能获得良好的去噪效果，并具有良好的PSNR性能。

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《International Conference on Intelligent Human-Machine Systems and Cybernetics》|2016年|373-377|共5页
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Lan Zhang; Lei Xu;
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关键词
Noise reduction; Image denoising; Particle swarm optimization; Optimization; TV; Standards; Numerical models;

机译：降噪;图像去噪;粒子群优化;优化;电视;标准;数值模型;

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1. Effect of Regularization parameter on Total Variation based denoising of Magnetic Resonance Images [J] . Nikita Joshi, Sarika Jain, Amit Agarwal International Journal of Advances in Soft Computing and Its Applications . 2018,第3期

机译：正则化参数对基于总变分的磁共振图像去噪的影响
2. Learning optimal spatially-dependent regularization parameters in total variation image denoising [J] . Van Chung Cao, De los Reyes J. C., Schonlieb C. B. Inverse Problems: An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data . 2017,第7期

机译：在总变化图像去噪中学习最佳空间依赖正则化参数
3. A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising [J] . Le Sun, Tianming Zhan, Zebin Wu, ISPRS International Journal of Geo-Information . 2018,第10期

机译：高光谱图像混合去噪的新型3D各向异性总变化正则化低秩方法
4. A New Method for Choosing the Regularization Parameter of ROF Total Variation Image Denoising [C] . Lan Zhang, Lei Xu International Conference on Intelligent Human-Machine Systems and Cybernetics . 2016

机译：选择ROF总变化图像去噪的正则化参数的新方法
5. Speckle Image Denoising Methods Based on Total Variation and Non-local Means [D] . Jones, Chartese D. 2020

机译：基于总变化和非本地手段的斑点图像去噪方法
6. Erratum: Lou X.; Jia Z.; Yang J.; Kasabov N. Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. Sensors 2019 19 1179 [O] . Xuemei Lou, Zhenhong Jia, Jie Yang, 2019

机译：勘误表：LouX .;贾志;杨建KasabovN.基于ROF模型半隐式去噪方法的SAR图像变化检测。传感器2019191179
7. A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising [O] . Le Sun, Tianming Zhan, Zebin Wu, 2018

机译：一种新型的3D各向异性总变化正规化低秩的高光谱图像混合去噪

A New Method for Choosing the Regularization Parameter of ROF Total Variation Image Denoising

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