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Digital image filtering in wavelet domain using genetic programming | ||
| Iranian Journal of Science and Technology Transactions of Electrical Engineering | ||
| شناسنامه علمی شماره، دوره 30، شماره 6، فروردین 2006، صفحه 701-710 اصل مقاله (968.12 K) | ||
| شناسه دیجیتال (DOI): 10.22099/ijste.2006.876 | ||
| چکیده | ||
| Genetic Programming (GP) is a powerful machine learning technique derived from genetic algorithms. We used GP to generate a mathematical function for image denoising based on statistical features derived from detail sub-bands of wavelet transform (WT). The function obtained from GP for image denoising is not dependent to any parameters as represented in other image denoising methods based on WT. Results of the proposed image denoising method is compared to the VisuShrink soft threshold image denoising method, both perceptually and in terms of Peak Signal to Noise Ratio (PSNR). | ||
| کلیدواژهها | ||
| Genetic programming؛ wavelet transform؛ denoising؛ features؛ expressions؛ fitness؛ PSNR | ||
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آمار تعداد مشاهده مقاله: 1,438 تعداد دریافت فایل اصل مقاله: 1,398 |
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