Title :
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
fDate :
Aug. 29 2008-Sept. 2 2008
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;
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
DOI :
10.1109/ICCSIT.2008.156
