On the optimal progressive transmission of wavelet packet compressed images
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Progressive transmission is one of the most important performance factors for wavelet/subband based coding schemes. Depending on the applications, an image is first decomposed using the wavelet packet, or the pyramidal paradigm, and then wavelet coefficients can be quantized and coded into a bit stream. Moreover, selective compression, as well as browsing are important functions for many applications. these important functions rely on an efficient labeling scheme of subbands, so that they can be navigated efficiently. Because of the sequential nature of the wavelet decomposition/reconstruction, image subbands must be carefully ordered for efficient image retrieval, transmission, and parallelization. The importance of subband management cannot be overestimated for processing of mega/tera-byte images. In this paper we propose a stack based data structure for recursive ordering of wavelet subbands. Based on our scheme, one can easily optimize placement of subbands, so that different subbands can be efficiently reconstructed or navigated to avoid performance bottlenecks.