ROBUST EZW IMAGE-CODING FOR NOISY CHANNELS

We present a new embedded zerotree wavelet image coding algorithm that is based on the algorithms developed by Shapiro and Said ct al, Our a lgorithm features a relatively simple coding structure and provides a better framework for balancing between high compression performance an d robustness to channel errors, The fundamental approach is to explici tly classify the encoder's output bit sequence into subsequences, whic h are then protected differently according to their importance and rob ustness, Experimental results indicate that, for noisy channels, the p roposed algorithm is slightly more resilient to channel errors than mo re complex and sophisticated source-channel coding algorithms, More im portant is that our algorithm is substantially more robust with respec t to varying channel error conditions, This provides much needed relia bility in low-bandwidth wireless applications.