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Proceedings Paper

Adaptive Coding For Image Sequences In Transform Domain Based On A Classification Strategy
Author(s): G. Tu; L. Van Eycken; A. Oosterlinck
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Paper Abstract

This paper presents an adaptive coding technique, based on a classification strategy, for color image sequence signal. Due to the classification process, carried out in the data domain, the non-stationary image data are partitioned into different classes characterized by the local spatial activities. The coding process is then optimized in each class. The low-passed image data are coded from two processing loops: a dynamic one in which an image block is obtained by using motion-estimation; a static loop in which a best matched vector from a vector quantization sub-codebook is chosen. The motion estimated data block, on the other hand, contains also the classification information. The difference data are then adaptively encoded by using the classification informations, and the properties of the human visual system can be incorporated in order to increase the performance.

Paper Details

Date Published: 16 December 1988
PDF: 9 pages
Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); doi: 10.1117/12.948450
Show Author Affiliations
G. Tu, Catholic University of Leuven (Belgium)
L. Van Eycken, Catholic University of Leuven (Belgium)
A. Oosterlinck, Catholic University of Leuven (Belgium)

Published in SPIE Proceedings Vol. 0974:
Applications of Digital Image Processing XI
Andrew G. Tescher, Editor(s)

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