Application level framing applied to image compression

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. In this paper, we apply the concept of network-conscious image compression to the SPIHT wavelet zerotree encoding algorithm , to improve its performance over unreliable networks. Experimental results connrm that for non-negligible network loss rates and low bandwidths, network-conscious image compression provides faster progressive display.