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Zhen Ye, Xiaoming Ou, Juhua Huang and Yingpin Chen
A traditional total variation (TV) model for infrared image deblurring amid salt-and-pepper noise produces a severe staircase effect. A TV model with low-order overlapping group sparsity (LOGS) suppresses this effect; however, it considers only the prior...
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Yanfen Kong, Caiyue Zhou, Chuanyong Zhang, Lin Sun and Chongbo Zhou
The group sparse representation (GSR) model combines local sparsity and nonlocal similarity in image processing, and achieves excellent results. However, the traditional GSR model and all subsequent improved GSR models convert the RGB space of the image ...
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Yang Chen, Masao Yamagishi and Isao Yamada
This paper proposes a new group-sparsity-inducing regularizer to approximate l2,0
l
2
,
0
pseudo-norm. The regularizer is nonconvex, which can be seen as a linearly involved generalized Moreau enhancement of l2,1
l
2
,
1
-norm. Moreover, the overall con...
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Lingzhi Wang, Yingpin Chen, Fan Lin, Yuqun Chen, Fei Yu and Zongfu Cai
Models based on total variation (TV) regularization are proven to be effective in removing random noise. However, the serious staircase effect also exists in the denoised images. In this study, two-dimensional total variation with overlapping group spars...
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