Robust EZW Image Compression using Rate Distortion Analysis

The EZW Embedded Zerotree Wavelet like image compression algorithms lack the error resilience ability in noisy transmission environments We propose the channel optimized source coding scheme to improve the robustness of them First a block based method is adopted to localize the error e ects Then we assign bits to each block by applying dynamic bit allocation to the block based EZW algorithm based on the rate distortion functions computed from the channel noise models The performance of our method was evaluated on both the binary symmetric chan nel and burst noise channel models EDICS number SOUR Address Institute of Information Science Academia Sinica Taiwan e mail whwang iis sinica edu tw