Universal perceptual weighted zerotree coding for image and video compression

Author

Lo, K.T. ; Zhang, X.D. ; Feng, J. ; Wang, D.S.

Author_Institution

Dept. of Electr. & Inf. Eng., Hong Kong Polytech. Univ., China

Volume

147

Issue

3

fYear

2000

fDate

6/1/2000 12:00:00 AM

Firstpage

261

Lastpage

265

Abstract

A universal representation for the 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 realised 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 quantisation can be used to encode the weighted coefficients of the 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

Keywords

data compression; image coding; image representation; matrix algebra; quantisation (signal); transform coding; trees (mathematics); video coding; wavelet transforms; EZW; SPIHT; extracted full-tree weighting; image compression; perceptual coder; perceptual weighted zerotree coding algorithm; universal perceptual weighted zerotree coding; universal representation; video compression; visual weighting; visual weighting matrices; wavelet transform; weighted coefficients encoding; zerotree representation; zerotree space-frequency quantisation;

fLanguage

English

Journal_Title

Vision, Image and Signal Processing, IEE Proceedings -

Publisher

iet

ISSN

1350-245X

Type

jour

DOI

10.1049/ip-vis:20000209

Filename

852308