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Proceedings Paper

A Hybrid Coding Scheme For Still Images : Adaptive Vector Quantization With Correction Information In Dct Domain
Author(s): G . Tu; G. Verbeek; J. Rommelaere; A Oosterlinck
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Paper Abstract

An adaptive image coding system is presented, in which vector auantization (VO) is implemented in the discrete cosine transformed (DCT) domain to manipulate the stationary image data according to their features. The errors resulted by VQ, viewed as non-stationarity of the data, are evaluated and an adaptive correction operation is carried out using scalar correction quatizers (SCQ). Moreover, the DC-coefficients are also vector quantized. This coding system has been simulated for natural images and an improvement of more than 3 dB is obtained in comparison to traditional DCT coding systems.

Paper Details

Date Published: 18 January 1988
PDF: 6 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942117
Show Author Affiliations
G . Tu, Catholic University of Leuven (Belgium)
G. Verbeek, Catholic University of Leuven (Belgium)
J. Rommelaere, Catholic University of Leuven (Belgium)
A Oosterlinck, Catholic University of Leuven (Belgium)

Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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