Block size effect on image compression using SYMPES method

Abstract

One of the aims of image compression, is decreasing unnecessary and redundant image data for easier storage and transmission in an effective way, taking less storage capacity and less transmission bandwidth. While the compression shall result in least information loss and maximum similarity to the original image. By using Systematic Procedure for Predefined Envelope and Signature Sequences (SYMPES) method, this paper shows the effect of block size on processing parameters such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), etc. while other parameters such as image size, total number of signature, envelope and coefficient functions and other parameters are kept fixed and without change. Block size and the effect of block size on quality/distortion metrics is investigated. The advantage of this study is proving the flexibility of SYMPES method towards block sizes but up to a certain point where coefficient intensity is not lost and signature intensity has no negative effect on envelope intensity. Finally, increasing block size up to a certain point, can result to higher compression rate and better PSNR. Therefore, the best block size can be achieved to have most desirable result for image compression.