Share Email Print

Proceedings Paper

Representation of spectral images in data communication
Author(s): Markku Hauta-Kasari; Juha Lehtonen; Jussi P. S. Parkkinen; Timo Jaeaeskelaeinen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

We present techniques for representing spectral images in data communications. The spectral domain of the images is represented by a low-dimensional component image set, which is used to obtain an efficient compression of the high- dimensional spectral data. The component images are compressed using a similar technique as the JPEG- and MPEG- type compressions use to subsample the chrominance channels. The spectral compression is based on Principal Component Analysis (PCA) combined with a color image transmission coding technique of chromatic channel subsampling of the component images. The component images are subsampled using 4:2:2, 4:2:0, and 4:1:1-based compressions. In addition, we extended the test for larger block sizes and larger number of component images than in the original JPEG- and MPEG- standards.

Paper Details

Date Published: 6 June 2002
PDF: 4 pages
Proc. SPIE 4421, 9th Congress of the International Colour Association, (6 June 2002); doi: 10.1117/12.464753
Show Author Affiliations
Markku Hauta-Kasari, Univ. of Joensuu (Finland)
Juha Lehtonen, Univ. of Joensuu (Finland)
Jussi P. S. Parkkinen, Univ. of Joensuu (Finland)
Timo Jaeaeskelaeinen, Univ. of Joensuu (Finland)

Published in SPIE Proceedings Vol. 4421:
9th Congress of the International Colour Association
Robert Chung; Allan Rodrigues, Editor(s)

© SPIE. Terms of Use
Back to Top