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Proceedings Paper

An Adaptive Block-Quantizer Approach To Transform Coding Of Pictures
Author(s): M. Haqhiri; C. Remus
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Paper Abstract

Two fixed rate transform coding techniques are presented in this paper. They use a simple non-stationary model for images. This model supposes that the transformed sub-blocks of an image signal could be generated by switching the outputs of several random vector generators. It leads to two adaptive block quantizer techniques which characterize the random generators based on a training sequence and encode the new images using the learned parameters. These techniques show some improvements with respect to the well-known Chen-Smith method. The encoder-decoder complexity is lower and the techniques are easily hardware implementable.

Paper Details

Date Published: 1 May 1986
PDF: 6 pages
Proc. SPIE 0594, Image Coding, (1 May 1986); doi: 10.1117/12.952197
Show Author Affiliations
M. Haqhiri, Laboratoires d'Electronique et de Physique Appliquee (France)
C. Remus, Laboratoires d'Electronique et de Physique Appliquee (France)

Published in SPIE Proceedings Vol. 0594:
Image Coding
Thomas S. Huang; Murat Kunt, Editor(s)

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