Performance Analysis of Image Compression Performance of Discrete Wavelet Techniques

Abstract

This paper present performance-based comparative analysis on wavelet image compression using different wavelet-based techniques. This research covers some background of wavelet analysis, data compression and how different wavelets techniques were used in image compression. The techniques involved in the comparison process are ASWDR, SPIHT, and the new standard JPEG2000. The compression performance of these technique were then compare using different images and different parameters to ascertain each technique compression performances. The quality  of the images is calculated by using three performance parameters PSNR (Peak Signal to Noise Ratio), EC (Edge Correlation), and WAPE (Weighted Average of PSNR and EC) values