DocumentCode
319888
Title
SNR optimisation using genetic algorithm
Author
Suthaharan, Shan ; Zhang, Zhongwei
Author_Institution
Sch. of Comput. & Inf. Technol., Monash Univ., Clayton, Vic., Australia
Volume
1
fYear
1997
fDate
26-29 Oct 1997
Firstpage
295
Abstract
A new technique based a genetic algorithm is proposed in this paper to find the optimal value of the ratio Γ, which is a priori knowledge of the signal-to-noise ratio, in the Wiener filter for image restoration. The proposed method can be used in a control experiment in conjunction with any image-quality-assessment measure in order to obtain the optimal Γ for the measure. In the control experiment, the minimum mean square error (MSE) and image activity weighted error (IAWE) are used
Keywords
Wiener filters; genetic algorithms; image restoration; interference suppression; least mean squares methods; SNR optimisation; Wiener filter; a priori knowledge; genetic algorithm; image activity weighted error; image restoration; image-quality-assessment measure; minimum mean square error; signal-to-noise ratio; Degradation; Equations; Fourier transforms; Genetic algorithms; Image restoration; Layout; Mean square error methods; Pixel; Signal to noise ratio; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.647763
Filename
647763
Link To Document