New predictive classified vector quantisation scheme for image compression

Kwok Tung Lo; W. K. Cham

doi:10.1049/el:19940895

New predictive classified vector quantisation scheme for image compression

Kwok Tung Lo, W. K. Cham

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

1 Citation (Scopus)

Abstract

A new image coding method using predictive classified vector quantisation (PCVQ) is proposed. The image is first divided into different subsources using a two-stage classification method based on the optimum three-level block truncation coding technique. Each subsource is then vector quantised using different codebooks. Simulation results show that an improvement of about 2 to 6dB in PSNR performance over the JPEG scheme is obtained at the rate of 0.4375bit/pixel.

Original language	English
Pages (from-to)	1280-1282
Number of pages	3
Journal	Electronics Letters
Volume	30
Issue number	16
DOIs	https://doi.org/10.1049/el:19940895
Publication status	Published - 4 Aug 1994

Keywords

Data compression
Image processing
Vector quantisation

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/el:19940895

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New predictive classified vector quantisation scheme for image compression

Abstract

Keywords

ASJC Scopus subject areas

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