Blurred Image Restoration Using Fast Blur-Kernel Estimation

2014 ◽  
Author(s):  
Hui Yu Huang ◽  
Wei Chang Tsai
Keyword(s):  
Image Restoration ◽  
Kernel Estimation ◽  
Blur Kernel Estimation ◽  
Blurred Image ◽  
Blur Kernel

scholarly journals Blur kernel estimation of noisy-blurred image via dynamic structure prior

2020 ◽  
Vol 403 ◽  
pp. 268-281
Author(s):  
Xueling Chen ◽  
Yu Zhu ◽  
Wei Liu ◽  
Jinqiu Sun ◽  
Yanning Zhang
Keyword(s):  
Kernel Estimation ◽  
Dynamic Structure ◽  
Blur Kernel Estimation ◽  
Blurred Image ◽  
Blur Kernel

scholarly journals Blur Kernel Estimation by Structure Sparse Prior

2020 ◽  
Vol 10 (2) ◽  
pp. 657
Author(s):  
Xiaobin Yuan ◽  
Jingping Zhu ◽  
Xiaobin Li
Keyword(s):  
Sparse Representation ◽  
Estimation Method ◽  
Kernel Estimation ◽  
Blind Image Deblurring ◽  
Locality Constraint ◽  
Blur Kernel Estimation ◽  
Comparable Performance ◽  
Blurred Image ◽  
Blur Kernel ◽  
Sparse Prior

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 considered the structure relationships among original pixels. In this paper, a blur kernel estimation method is proposed by introducing the locality constraint into sparse representation framework. Both the sparsity regularization and the locality constraint are incorporated to exploit the structure relationships among pixels. The proposed method was evaluated on a real-world benchmark dataset. Experimental results demonstrate that the proposed method achieve comparable performance to the state-of-the-art methods.

scholarly journals Motion Blur Kernel Estimation via Deep Learning

2018 ◽  
Vol 27 (1) ◽  
pp. 194-205 ◽  
Author(s):  
Xiangyu Xu ◽  
Jinshan Pan ◽  
Yu-Jin Zhang ◽  
Ming-Hsuan Yang
Keyword(s):  
Deep Learning ◽  
Kernel Estimation ◽  
Motion Blur ◽  
Blur Kernel Estimation ◽  
Blur Kernel
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