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Total variation with overlapping group sparsity and Lp quasinorm for infrared image deblurring under salt-and-pepper noise
Liu, Xingguo1,2; Chen, Yingpin1,3; Peng, Zhenming1; Wu, Juan2
2019-07-01
发表期刊JOURNAL OF ELECTRONIC IMAGING
ISSN1017-9909
EISSN1560-229X
卷号28期号:4
摘要Because of the limitations of the infrared imaging principle and the properties of infrared imaging systems, infrared images have some drawbacks, including a lack of details, indistinct edges, and a large amount of salt-and-pepper noise. Traditionally, the total variation (TV) regularization method with L1 norm is used for image deblurring in preserving edges and removing salt-and-pepper noise. However, the TV-based solutions usually have some staircase effects. To improve the sparse characteristics of the image while maintaining the image edges and weakening staircase artifacts, we propose a method that uses the Lp quasinorm instead of the L1 norm and for infrared image deblurring with an overlapping group sparse TV method. The Lp quasinorm introduces another degree of freedom, better describes image sparsity characteristics, and improves image restoration. Furthermore, we adopt the accelerated alternating direction method of multipliers and fast Fourier transform theory in the proposed method to improve the efficiency and robustness of our algorithm and use an inner loop nested within the optimization minimization iteration to solve the subproblem. Experiments show that under different conditions for blur and salt-and-pepper noise, the proposed method leads to excellent performance in terms of objective evaluation and subjective visual results. © 2019 SPIE and IS&T.
关键词Degrees of freedom (mechanics) Fast Fourier transforms Image reconstruction Infrared imaging Iterative methods Stairs Thermography (imaging) Alternating direction method of multipliers Deblurring Lp quasinorm Objective evaluation Overlapping groups Salt-and-pepper noise Staircase artifacts Total variation regularization
DOI10.1117/1.JEI.28.4.043031
收录类别EI ; SCIE
语种英语
WOS研究方向Engineering ; Optics ; Imaging Science & Photographic Technology
WOS类目Engineering, Electrical & Electronic ; Optics ; Imaging Science & Photographic Technology
WOS记录号WOS:000484397700031
出版者SPIE
EI入藏号20193907463164
EI分类号402 Buildings and Towers ; 742.1 Photography ; 746 Imaging Techniques ; 921.3 Mathematical Transformations ; 921.6 Numerical Methods ; 931.1 Mechanics
原始文献类型Journal article (JA)
出版地BELLINGHAM
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.cqcet.edu.cn/handle/39TD4454/3185
专题通信工程学院
电子与物联网学院
作者单位1.University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China;
2.Chongqing College of Electronic Engineering, Chongqing, China;
3.Minnan Normal University, School of Physics and Information Engineering, Zhangzhou, China
第一作者单位重庆电子科技职业大学
推荐引用方式
GB/T 7714
Liu, Xingguo,Chen, Yingpin,Peng, Zhenming,et al. Total variation with overlapping group sparsity and Lp quasinorm for infrared image deblurring under salt-and-pepper noise[J]. JOURNAL OF ELECTRONIC IMAGING,2019,28(4).
APA Liu, Xingguo,Chen, Yingpin,Peng, Zhenming,&Wu, Juan.(2019).Total variation with overlapping group sparsity and Lp quasinorm for infrared image deblurring under salt-and-pepper noise.JOURNAL OF ELECTRONIC IMAGING,28(4).
MLA Liu, Xingguo,et al."Total variation with overlapping group sparsity and Lp quasinorm for infrared image deblurring under salt-and-pepper noise".JOURNAL OF ELECTRONIC IMAGING 28.4(2019).
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