Image Compression using Genetic Algorithm | ||
Journal of University of Babylon | ||
Article 1, Volume 20, Issue 2, June 2012, Pages 487-502 | ||
Authors | ||
Ali K. Idrees; Suhad A. ALI; Esrra H. Obead | ||
Abstract | ||
In this paper, A steady – state Genetic Algorithm (SSGA) based two phase image quantization algorithm for image compression is proposed. The aim of the first phase is create the initial codebook that used to categorize the image blocks by a according to some distortion measures, while the SSGA will produce the best representative Block that represents the all blocks in each unit within the codebook in the second phase. The simulation results explain that the proposed SSGA exhibits a good compression ratio with high quality reconstructed image. | ||
Keywords | ||
Image Compression; vector quantization; Genetic algorithms | ||
Statistics Article View: 200 PDF Download: 126 |