Using Genetic Algorithm to Reduce the Noise Effect on Images | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 27, Volume 9, Issue 2, December 2012, Pages 127-142 PDF (1.51 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2012.163723 | ||
| Author | ||
| Baydaa S Bhnam | ||
| College of Computer Science and Mathematics University of Mosul | ||
| Abstract | ||
| This paper deals with a problem that concentrates on the noise removal that the images are affected from different resources employing Genetic Algorithm with filters. To achieve the aims of the paper, six types of genetic filters are suggested for noise removal from the images. These suggested genetic filters depending on filters (mean, median, min and max) as an objective function for them. These suggested genetic filters are applied on several real images contaminated by two types of noise with different levels for comparison and to show the effectiveness of them. The result show that The fifth genetic filter that depends on the median filter as an objective function and heuristic crossover and adding and subtracting mutation, gives the best results with RMSE=15.7243 and PSNR=24.1646 for Lena.bmp image and with RMSE=8.6197 and PSNR=29.4210 for girl.png image when add 0.05 salt & paper noise. | ||
| Keywords | ||
| genetic algorithm; Image enhancement; Filters; Noise; digital image | ||
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