Out-of-focus blur estimation for blind image deconvolution: Using particle swarm optimization

Author

Sun, Tsung-Ying ; Ciou, Sin-Jhe ; Liu, Chan-Cheng ; Huo, Chih-Li

Author_Institution

Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

1627

Lastpage

1632

Abstract

This study addresses the blind image deconvolution which uses only blurred image and less point spread function (PSF) information to restore the original image. To identify the blind image it is a very important step for restoring the image. Therefore, the first step is to look for PSF model. In this paper, particle swarm optimization (PSO) is utilized to seek the unknown PSF. The objective function is based on the wavelet transform. It can identify the parameters of PSF exactly. Finally, the feasibility and validity of proposed algorithm are demonstrated by several simulations.

Keywords

image restoration; particle swarm optimisation; wavelet transforms; blind image deconvolution; image restoration; out-of-focus blur estimation; particle swarm optimization; point spread function information; wavelet transform; Adaptive filters; Cybernetics; Deconvolution; Image restoration; Layout; Learning; Particle swarm optimization; Sun; USA Councils; Wavelet transforms; Wiener filter; blind image deconvolution; out of focus; particle swarm optimization; point spread function; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346769

Filename

5346769