estimation of image compression rates by means of full-referenced distortion metrics

Abstract

Image remote access is an area of increasing interest because of the need to store, process and display a large amount of images available in web portals and network servers around the world. This need becomes a challenge as the size and quality of images increase. This work presents a method for the estimation of compression rates of images by means of full-referenced distortion metrics and shows its application to medical images that are processed by the JPEG, SPIHT, and EBCOT techniques. This method makes it possible that high-definition images can be transmitted in shorter times. Compression rates for the three mentioned techniques are calculated by considering the perceived-lossless compression limits and the correlation values between measurements. The results obtained in this work show that it is possible to achieve the progressive transmission of images for each of the three techniques, keeping the same perceived quality and shortening the transmission times.