DocumentCode :
2248342
Title :
A new method for restoration of defocused image
Author :
Wu, Wei-wen ; Zhong, Jin-Hui ; Wang, Zhi-Yan
Author_Institution :
Dept. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume :
5
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
2402
Lastpage :
2405
Abstract :
Image degradation is associated with many factors. We first give a brief introduction for the optical theory of defocused image, and then discuss the models of defocusing and introduce an effective way to calculate the PSF (Point Spread Function) of defocus. With the Gaussian model and degradation of defocus in parameter estimation, we propose a new method to reconstruct defocused image, which is based on Lucy-Richardson Algorithm combined with Wiener Adaptive filtering removing the noise. The simulation results show that the new method can achieve good recovery results.
Keywords :
Gaussian processes; Wiener filters; adaptive filters; image denoising; image restoration; Gaussian model; Lucy-Richardson algorithm; PSF defocus function; Wiener adaptive filtering; defocused image restoration; image degradation; point spread function; Adaptive filters; Degradation; Image restoration; Noise; Optical filters; Optical imaging; Wiener filter; Defocused Image; Image Restoration; Lucy-Richardson Algorithm; Wiener Adaptive Filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580702
Filename :
5580702
Link To Document :
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