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Embedded Lossless Wavelet Coder using Multi-Partitioning Algorithm

Chun-Ho Cheung, Sheung-Yeung Wang, Kwok-Wai Cheung, Lai-Man Po

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper proposed an embedded lossless wavelet coder using multi-partitioning algorithm in the successive approximation quantization for any degree of compression. Among many successive approximation algorithms in either lossy or lossless image coding, the zerotree characteristic is adopted for achieving higher initial coding performance, and with higher complexity spent on zerotree analysis, too. However, that the benefit in terms of the coding efficiency from the extra symbol zerotree root diminishes with the threshold. Our proposed Multi-Partitioning algorithm for embedded lossless wavelet coder use the space-frequency coefficients as the partitions' lower boundaries dynamically. This algorithm shows a considerable ratedistortion for progressive image transmission and provides a superior coding efficiency for lossless compression compared with other well-known embedded lossless coder.
Original languageEnglish
Title of host publication14th International Conference on Computers and Their Applications 1999, CATA 1999
PublisherThe International Society for Computers and Their Applications (ISCA)
Pages99-102
ISBN (Print)9781618395450
Publication statusPublished - 1999
Event14th International Conference on Computers and Their Applications, CATA 1999 - Cancun, Mexico
Duration: 7 Apr 19999 Apr 1999

Publication series

Name14th International Conference on Computers and Their Applications 1999, CATA 1999

Conference

Conference14th International Conference on Computers and Their Applications, CATA 1999
PlaceMexico
CityCancun
Period7/04/999/04/99

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Embedded lossless wavelet coder
  • Multi-Partitioning Algorithm

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