Share Email Print
cover

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
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

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

© SPIE. Terms of Use
Back to Top