Highly scalable image compression based on SPIHT for network applications
نویسندگان
چکیده
We propose a highly scalable image compression scheme based on the set partitioning in hierarchical trees (SPIHT) algorithm. Our algorithm, called highly scalable SPIHT (HS-SPIHT), supports spatial and SNR scalability and provides a bitstream that can be easily adapted (reordered) to given bandwidth and resolution requirements by a simple transcoder (parser). The HS-SPIHT algorithm adds the spatial scalability feature without sacrificing the SNR embeddedness property as found in the original SPIHT bitstream. HS-SPIHT finds applications in progressive Web browsing, flexible image storage and retrieval, and image transmission over heterogeneous networks. Disciplines Physical Sciences and Mathematics Publication Details This article was originally published as: Danyali, H & Mertins, A, Highly scalable image compression based on SPIHT for network applications, Proceedings International Conference on Image Processing, 22-25 September 2002 , 1, 1-217 1-220. Copyright IEEE 2002. This conference paper is available at Research Online: http://ro.uow.edu.au/infopapers/72
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