| 全变差图像去噪模型的快速求解 |
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| 引用本文： | 余瑞艳,刘文. 全变差图像去噪模型的快速求解[J]. 武汉理工大学学报(信息与管理工程版), 2011, 33(2): 197-199. DOI: 10.3963/j.issn.1007-144X.2011.02.007 |
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| 作者姓名： | 余瑞艳 刘文 |
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| 作者单位： | 1. 长江大学一年级教学工作部,湖北,荆州,434020
2. 武汉理工大学理学院,湖北,武汉,430070 |
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| 摘 要： | 针对全变差正则化模型求解算法普遍存在收敛速度慢的问题,基于Bregman迭代正则化方法构建了一种快速求解全变差正则化模型的迭代算法。实验结果表明,该算法能快速求解全变差正则化模型,得到的复原图像在峰值信噪比和主观视觉效果方面有着明显提高。
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| 关 键 词： | 图像去噪 全变差正则化 Bregman迭代正则化 |
A Fast Algorithm for Solving Total Variation Model Based Image Denoising |
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| YU Ruiyan,LIU Wen. A Fast Algorithm for Solving Total Variation Model Based Image Denoising[J]. Journal of Wuhan University of Technology(Information & Management Engineering), 2011, 33(2): 197-199. DOI: 10.3963/j.issn.1007-144X.2011.02.007 |
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| Authors: | YU Ruiyan LIU Wen |
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| Affiliation: | YU Ruiyan: Lect.,Dept.of Freshman Education,Yangtze University,Jingzhou 434020,China.,LIU Wen |
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| Abstract: | Image restoration is a typical ill-poised problem.Total variation regularization model is one of the most successful image restoration models.However,there is a ubiquitous problem of a slow and inefficient convergence rate in its algorithm.Based on Bregman iteration regularization models,an iteration algorithm was constructed to solve total variation regulation model quickly.The experimental results show that this algorithm can solve total variation regularization model quickly with an obvious enhancement i... |
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| Keywords: | image denoising total variation regularization Bregman iteration regularization |
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