Noise Reduction Via Genetic Algorithm (GA) | ||
| Baghdad College of Economic sciences University | ||
| Article 1, Volume 0, Issue 17, February 2018, Pages 341-356 | ||
| Abstract | ||
| This paper describes an effective method for performance both image de noising and brightness to images corrupted with wide category of noise. The method employs a Real-coded Genetic Algorithm (GA) with subjective fitness and crossover operator called (Uniform Crossover). The filters are used noise smoothing and adaptive to local changes in image statistics algorithm [1]. Two methods are used for this purpose, one is the classical and other is the Genetic Algorithm. This paper describes effective Genetic Algorithm (GA) methods for performing together noise reduction for image and brightness using GA, by employing a computational model capable of deriving the filter to the human interpreters demands. | ||
| Keywords | ||
| Noise Reduction; genetic algorithm; Adaptive Filter; Smoothing | ||
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