Genetic Algorithm Based Parameter Identification of Defocused Image

Author

Cao, Yi ; Wang, Zhengxuan ; Lv, Yinghua

Author_Institution

Coll. of Comput. Sci. & Technol., JiLin Univ., Jilin

fYear

2008

fDate

Aug. 29 2008-Sept. 2 2008

Firstpage

439

Lastpage

442

Abstract

A method to identify the degradation parameter of the defocused blur image based on genetic algorithm is proposed. In this technique, a FFT transform is performed in the frequency domain to estimate the range of defocus parameter, and then genetic algorithm is used to search in this domain to find the accurate value of the radius. We experimentally illustrate its performance; results show that the proposed parameter estimation technique is closely to the real defocus radius and more robust to noise.

Keywords

estimation theory; fast Fourier transforms; frequency-domain analysis; genetic algorithms; image restoration; parameter estimation; search problems; FFT transform; defocus parameter estimation; defocused blur image; degradation parameter identification; frequency domain analysis; genetic algorithm; search problem; Computer science; Degradation; Educational institutions; Focusing; Fourier transforms; Frequency domain analysis; Genetic algorithms; Image restoration; Information technology; Parameter estimation; defocus blur; genetic algorithm; image restoration;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on

Conference_Location

Singapore

Print_ISBN

978-0-7695-3308-7

Type

conf

DOI

10.1109/ICCSIT.2008.156

Filename

4624906