Compression of Digital Image based on Hybrid Heuristic Algorithm

Ramo, Fawziya Mahmood; Al Deen, Yaser Noor

doi:10.33899/csmj.2012.163725

	Compression of Digital Image based on Hybrid Heuristic Algorithm
AL-Rafidain Journal of Computer Sciences and Mathematics
Article 29, Volume 9, Issue 2, 2012, Pages 159-171 PDF (563.42 K)
Document Type: Research Paper
DOI: 10.33899/csmj.2012.163725
Authors
Fawziya Mahmood Ramo¹; Yaser Noor Al Deen²
¹College of Computer Science and Mathematics University of Mosul, Mosul, Iraq
²College of computer science and mathematics University of Mosul
Abstract
In this research paper a system has been proposed to be used in data compression of digital image based on two hybrid intelligent Algorithms. In the first algorithm which is now as Meta Heuristic Genetic Compression Algorithm (MGCA) the characteristic and features of GA and local search are used to compress digital image. The second algorithm is the (HMGTCA) Hybrid Meta Genetic and Tabu Compression Algorithm. Hybrid operation has been done between Meta Heuristic Genetic and Tabu search algorithm. The proposed algorithm has been applied on four samples. Efficiencies measures has been performed pled to calculate the value of (PSNR, MSE, correlation coefficient, compression ration and calculate the performance time). The experiments showed that the proposed algorithm achieved high performance and produces PSNR= 34.
Keywords
Digital Image Compression; genetic algorithm; Tabu search

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