Title :
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
fDate :
6/1/2000 12:00:00 AM
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;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20000209