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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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Fan Lin, Yingpin Chen, Yuqun Chen and Fei Yu
Image deblurring under the background of impulse noise is a typically ill-posed inverse problem which attracted great attention in the fields of image processing and computer vision. The fast total variation deconvolution (FTVd) algorithm proved to be an...
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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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