Universal perceptual weighted zerotree coding for image and video compression

Kwok Tung Lo, X. D. Zhang, J. Feng, D. S. Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

A universal representation for perceptual weighted zerotree coding algorithm is developed, in which the perceptual weighted zerotree coding is decomposed into two separate parts, i.e. visual weighting and zerotree representation, which can be realized independently. Prior to zerotree processing, the extracted full-tree is weighted by using a visual weighting matrix. Any zerotree algorithm like EZW, SPIHT and zerotree space-frequency quantization can be used to encode the weighted coefficients of wavelet transform. In other words, any previous algorithm without perceptual weighting can be easily extended to form a new perceptual coder using the proposed framework. Several examples of visual weighting matrices are given to show the effect of the new method.
Original languageEnglish
Pages (from-to)261-265
Number of pages5
JournalIEE Proceedings: Vision, Image and Signal Processing
Volume147
Issue number3
DOIs
Publication statusPublished - 3 Dec 2000

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing

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