Abstract
Two well-known wavelet zerotree encoding algorithms, Embedded Zerotree Encoding (Ezw) and Set Partitioning in Hierarchical Trees (Spiht), provide excellent progressive display when images are transmitted over reliable networks. However, both algorithms are state-dependent and can perform poorly over unreliable networks. We apply the concept of network-conscious image compression to theSpiht wavelet zerotree encoding algorithm, to improve its performance over unreliable networks. Experimental results confirm the utility of network-conscious image compression concept.
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