Share Email Print
cover

Proceedings Paper

Vector quantization and coding of the chromatic information in an image
Author(s): Eric Dubois; Jamal Fadli; Daniel Lauzon
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a new method for coding the chromatic component of a color image that exploits the piecewise- constant nature of chromatic information. The image is first transformed to a color space in which chromatic information is nearly piecewise constant. The chromatic component is then represented by entries from a codebook of 2D chromatic vectors adapted to the given image. Both memoryless quantization and quantization with spatial memory are considered. Finally, the field of labels is coded using a suitable lossless code with memory; we have used a context- dependent arithmetic code. Experimental results showing rate-distortion performance of the method under various conditions are presented.

Paper Details

Date Published: 9 January 1998
PDF: 10 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298395
Show Author Affiliations
Eric Dubois, INRS-Telecommunications (Canada)
Jamal Fadli, INRS-Telecommunications (Canada)
Daniel Lauzon, INRS-Telecommunications (Canada)


Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

© SPIE. Terms of Use
Back to Top