An efficient embedded zerotree wavelet image codec based on intraband partitioning

Z. Liu, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Scopus citations

Abstract

Embedded zerotree wavelet (EZW) coding, introduced by J.M. Shapiro and improved in the SPIHT codec of A. Said and W.A. Pearlman, is a very effective wavelet image coding method. One main concept in EZW and SPIHT is the exploitation of self-similarity across different scales of the image wavelet transform to effectively compress the image data. This paper presents an efficient and fully embedded zerotree wavelet image codec that achieves a comparable and even better performance than SPIHT by exploiting only the self-similarity within the scales (intraband self-similarity). The proposed algorithm results in a simpler implementation and in a more efficient representation of the ordering information than SPIHT. Coding results are presented to illustrate the performance of the proposed embedded wavelet image codec.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Volume3
StatePublished - 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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    Liu, Z., & Karam, L. (2000). An efficient embedded zerotree wavelet image codec based on intraband partitioning. In IEEE International Conference on Image Processing (Vol. 3)