Vector quantization and coding of the chromatic information in an image

Eric Dubois; Jamal Fadli; Daniel Lauzon

doi:10.1117/12.298395

9 January 1998 Vector quantization and coding of the chromatic information in an image

Eric Dubois, Jamal Fadli, Daniel Lauzon

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298395
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

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.

Citation Download Citation

Eric Dubois, Jamal Fadli, and Daniel Lauzon "Vector quantization and coding of the chromatic information in an image", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298395

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