Comparative analysis on image compression techniques for chromosome images

Image compression has emerged as a major research area due to the phenomenal growth of applications that generate process and transmit images. Image compression can be sequential or progressive. Natural images contain edges, geometry, texture and other discontinuities (details that are oriented in various directions). In this paper, a comparative analysis of four images compression techniques (JPEG, Wavelets, Bandelets and Ridgelets) applied to images of chromosomes is proposed. The interest of this study is to measure the sensitivity to the noise of these techniques when dealing with contour and texture of different forms of objects in the image. This synthesis and from results, proves that the studied factors (compression ratio, processing duration, coding error and signal noise ratio) have a characteristic influence on each other. This indicates that the choice of the result converges to an optimal compromise. Promising results are obtained.