Digital image compression using genetic algorithms

Abstract EN

The idea of image compression is to process an image in such a way that its output representation requires to be transmitted or stored in a reduced size.

In this paper, we solve the image compression problem using genetic algorithms (GAs) based on the pixels of the image.

The technique described here utilizes the GA, which greatly decreases the search space for finding the Peak Signal-to-Noise Ratio (PSNR) and Compression Ratio (CR).

PSNR and CR are used to construct the fitness function for set of chromosomes in this work.

During the compression, the advanced wavelet coding schemes (soft or hard threshold compression) are used.

Several experiments were given to illustrates the performance of the proposed scheme and it give good results to image compression.