1. SNR optimisation using genetic algorithm
- Author
-
Zhongwei Zhang and S. Suthaharan
- Subjects
Minimum mean square error ,business.industry ,Wiener filter ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Pattern recognition ,Measure (mathematics) ,Image (mathematics) ,symbols.namesake ,Signal-to-noise ratio (imaging) ,Genetic algorithm ,symbols ,A priori and a posteriori ,Artificial intelligence ,business ,Image restoration ,Mathematics - Abstract
A new technique based a genetic algorithm is proposed in this paper to find the optimal value of the ratio /spl Gamma/, 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 /spl Gamma/ for the measure. In the control experiment, the minimum mean square error (MSE) and image activity weighted error (IAWE) are used.
- Published
- 2002