Image Compression using Genetic Algorithm


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.