Motion-blurred image restoration using modified inverse all-pole filters

2002 ◽  
Author(s):  
Boris Likhterov ◽  
Norman S. Kopeika
Keyword(s):  
Image Restoration ◽  
Blurred Image

Defocus blurred image restoration by minimizing second-order central moment

2011 ◽  
Author(s):  
Sheng Zhong ◽  
Mingzhi Jin ◽  
Luxin Yan ◽  
Tianxu Zhang
Keyword(s):  
Image Restoration ◽  
Central Moment ◽  
Second Order ◽  
Blurred Image

Blurred Image Restoration of Local Uniform Motion Based on Z Transform

2009 ◽  
Vol 29 (5) ◽  
pp. 1193-1197
Author(s):  
黎明和 Li Minghe ◽  
何斌 He Bin ◽  
岳继光 Yue Jiguang ◽  
秦健铭 Qin Jianming
Keyword(s):  
Image Restoration ◽  
Uniform Motion ◽  
Blurred Image

Motion blurred image restoration based on joint transform correlator

2014 ◽  
Author(s):  
Xue-ting Hong ◽  
Yi-xian Qian ◽  
Xiao-wei Shi ◽  
Deng-hui Li
Keyword(s):  
Image Restoration ◽  
Joint Transform Correlator ◽  
Blurred Image

Fast Restoration Algorithm for Rotational Motion Blurred Images

2011 ◽  
Vol 267 ◽  
pp. 969-973
Author(s):  
Jian Yang Zhou ◽  
Yin Tao Yang ◽  
Yi Liang Wu
Keyword(s):  
Image Restoration ◽  
Rotational Motion ◽  
Fast Algorithm ◽  
Degradation Model ◽  
Experimental Platform ◽  
Restoration Algorithm ◽  
Blurred Image ◽  
Comparison And Analysis ◽  
Blurred Images ◽  
Image Degradation Model

This paper first introduces the history and research status of motion-blurred image restoration, and then establishes a rotating image degradation model. we present a fast algorithm for real-time hardware restoration of rotating motion blurred images, the algorithm is simulated and experimental platform is built for the actual verification. Through comparison and analysis of the recovery results, we verify the accuracy of the algorithm, and it shows that this rotational motion blurred image restoration algorithm can receive satisfactory results.

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