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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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Xiaobin Yuan, Jingping Zhu and Xiaobin Li
Blind image deblurring tries to recover a sharp version from a blurred image, where blur kernel is usually unknown. Recently, sparse representation has been successfully applied to estimate the blur kernel. However, the sparse representation has not cons...
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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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Fedor Krasnov,Oleg Ushmaev
Pág. 7 - 14
This study was conducted to present the possibilities of modern approaches to extracting information from text corpus. The purpose of this study is to provide answers to the following business questions using a scientific approach to the analysis of the ...
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Di Guo, Zhangren Tu, Jiechao Wang, Min Xiao, Xiaofeng Du and Xiaobo Qu
Images may be corrupted by salt and pepper impulse noise during image acquisitions or transmissions. Although promising denoising performances have been recently obtained with sparse representations, how to restore high-quality images remains challenging...
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Di Guo, Zhangren Tu, Jiechao Wang, Min Xiao, Xiaofeng Du and Xiaobo Qu
Images may be corrupted by salt and pepper impulse noise during image acquisitions or transmissions. Although promising denoising performances have been recently obtained with sparse representations, how to restore high-quality images remains challenging...
ver más
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