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Compress Digital Image based on Genetic Meta-Heuristic algorithm | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 22, Volume 10, Issue 2, 2013, Pages 135-143 PDF (416.89 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163490 | ||
| Authors | ||
| Fawziya Mahmood Ramo; Yaser Noor Al Deen | ||
| College of Computer Science and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| In this research a propose method has be used to compression Data of digital image based on one of Meta Heuristic Algorithm. Genetic Meta Heuristic has been applied to obtain effective data and then performed compression operation using Vector Quantization. The proposed algorithm has been applied (we called it GMH) on sample of images.Efficince measures has been performed to calculate the value of (PSNR,MSE and correlation coefficient and compression ration). The experiments show that the proposed algorithm achives high performance and produces 87% compression rate. | ||
| Keywords | ||
| compression digital images; genetic algorithm; Meta Heuristic Algorithm | ||
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