DocumentCode :
682780
Title :
Motion blurred image restoration
Author :
Shuai Jia ; Jie Wen
Author_Institution :
Coll. of Sci., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume :
01
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
384
Lastpage :
389
Abstract :
The restoration of motion blurred images is a hot shot in the field of image processing. In this paper, The degradation model of motion blurred images is clarified, and the estimation of the PSF parameter as well as its algorithm is presented. Frequency spectrum and Radon transition are used for the length and angle calculation, then Wiener filtering and Inverse filtering are used for recovering the noisy and motion blurred images. The matrix conjugate gradient is used to process the images which are processed by Wiener filtering and Inverse filtering. These simulation results indicate that matrix conjugate gradient is effective and promising for their recovery.
Keywords :
Radon transforms; Wiener filters; image motion analysis; image restoration; PSF parameter; Radon transition; Wiener filtering; angle calculation; frequency spectrum; image processing; inverse filtering; matrix conjugate gradient; motion blurred image restoration; Correlation; Degradation; Filtering; Image restoration; Noise; Transforms; Wiener filters; Inverse filtering; Motion blurred images; Radon transform; Wiener filtering; conjugate gradient method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
Type :
conf
DOI :
10.1109/CISP.2013.6744024
Filename :
6744024
Link To Document :
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