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A Multi-Channel Channel-Optimized Scheme For Ezw Using Rate-Distortion Functions

By Jen-Chang Liu Wen-Liang, Jen-chang Liu and Wen-liang Hwang


We develop a multi-channel channel-optimized scheme for EZW image compression in a noisy transmission environment. A block-based modification for EZW is applied to improve the robustness of EZW, and to produce several coded bitstreams for transmission over multiple channels with different noise conditions. Then the respective channel noise is considered in the ratedistortion analysis, and the resultant rate-distortion functions are used for optimal bit allocation among the coded bitstreams. The case of burst noise is analyzed as an example. 1. INTRODUCTION The modern communication system mainly consists of the source coding and the channel coding. These two parts are usually designed separately because of Shannon 's separation principle [1]. The separated design of source coding from channel coding can be potentially inefficient in practice. For example, the Embedded Zerotree Wavelet (EZW) coder [2] is known to be the state-of-art image compression algorithm, but even a single bit er..

Year: 2000
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