Evaluation of JP2 Digital Image Compression Using Correlation Method

Abstract

The demand for images, video sequences and computer animations has increased during the last years. The image compression is becoming an important issue in reducing the cost of data storage and transmission. JPEG-2000 is a new international standard for still image compression. The codec of JPEG-2000 standard is based on wavelet coding techniques. The JPEG-2000 specification specifies two different formats: JP2 and code stream JPC. JP2 represents a visual image quite specifically, whereas JPC is a more or less arbitrary array of codes.

The aim of this Thesis is to analyze and measure the performance of the JPEG-2000 compressed images .jp2 by using a Jasper simulation program. Jasper measures the peak to noise ration PSNR, mean square error MSE, and peak absolute error PAE. Proposed one modification of Jasper library by adding a Correlation measure that gives a better view to the relation between the original and compressed image.

The used simulation program is a modified version of the so-called Jasper. This simulation program can measure the Peak signal to noise ratio, Mean square error of the JP2 compressed images (color & grayscale) at high and low bit rates. The simulation program gives better results than the other techniques.

Jasper library was used with a basic interface to allow the selection of operations (compression ration, code block, and number of resolution levels) and present the result numerically and graphically.