Title :
An improved Wiener filter using genetic algorithm
Author :
Suthaharan, S. ; Zhang, Z. ; Sathananthan, S.
Author_Institution :
Monash Univ., Clayton, Vic., Australia
Abstract :
In this paper, an optimization technique using the Genetic Algorithm has been proposed to find the optimal value of the ratio Γ, which is a priori knowledge of the signal-to-noise ratio, in the Wiener filter to image restoration. The proposed method is suitable and effective for control experiments in conjunction with any image-quality-assessment measure in order to obtain the optimal Γ for the measure. It has been shown that the method finds the optimal Γ regardless of degree of noise degradation
Keywords :
image restoration; Wiener filter; a priori knowledge; genetic algorithm; image restoration; image-quality-assessment measure; noise degradation; optimization technique; signal-to-noise ratio;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location :
Glasgow
Print_ISBN :
0-85296-693-8
DOI :
10.1049/cp:19971158