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Scalable to lossless audio compression based on perceptual set partitioning in hierarchical trees (PSPIHT)
Faculty of Informatics - Papers (Archive)
  • M. Raad, University of Wollongong
  • Alfred Mertins, University of Wollongong
  • I. Burnett, University of Wollongong
Publication Date
1-7-2003
Publication Details

This paper originally appeared as: Raad, M, Mertins, A and Burnett, I, Scalable to lossless audio compression based on perceptual set partitioning in hierarchical trees (PSPIHT), ICME '03. Proceedings. 2003 International Conference on Multimedia and Expo, 6-9 July 2003, vol 3, 393-396. Copyright IEEE 2003.

Abstract

This paper proposes a technique for scalable and also provides for lossless compression. It reduces smooth objective scalability, in terms of SegSNR, from lossy to lossless compression. The proposal is built around the perceptual SPIHT algorithm, which is a modification of the SPIHT algorithm and is introduced in this paper. Both objective and subjective results are reported and demonstrate that the proposed method performs comparably with the MPEG-4 AAC coder at 16, 32 and 64 kbps, yet also achieves a scalable-to-lossless architecture.

Citation Information
M. Raad, Alfred Mertins and I. Burnett. "Scalable to lossless audio compression based on perceptual set partitioning in hierarchical trees (PSPIHT)" (2003)
Available at: http://works.bepress.com/amertins/14/