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