Novel subtree partitioning algorithm for wavelet-based fractal image coding

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journalNot applicable

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Author(s)

  • L. M. Po
  • Y. Zhang
  • K. W. Cheung
  • C. H. Cheung

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)2677-2680
Journal / PublicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - 1998

Conference

TitleProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. Part 1 (of 6)
CitySeattler, WA, USA
Period12 - 15 May 1998

Abstract

In this paper, a novel wavelet subtree partitioning algorithm is proposed, which divides a subtree into scalar quantized wavelet coefficients and fractal coded sub-subtree. Based on this new technique, a variable size wavelet subtree fractal coding scheme for still image compression is developed. Experimental results show that the new scheme can achieve nearly optimal partition of wavelet subtree with substantially computational reduction as compared with Davis' scheme.