Efficient subtree splitting 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

1 Scopus Citations
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Author(s)

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

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Detail(s)

Original languageEnglish
Pages (from-to)106-109
Journal / PublicationProceedings - IEEE International Symposium on Circuits and Systems
Volume4
StatePublished - 1998

Conference

TitleProceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS. Part 5 (of 6)
CityMonterey, CA, USA
Period31 May - 3 June 1998

Abstract

In this paper, a novel wavelet subtree splitting 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.