Representation of spectral images in data communication

Markku Hauta-Kasari; Juha Lehtonen; Jussi P. S. Parkkinen; Timo Jaeaeskelaeinen

doi:10.1117/12.464753

6 June 2002 Representation of spectral images in data communication

Markku Hauta-Kasari, Juha Lehtonen, Jussi P. S. Parkkinen, Timo Jaeaeskelaeinen

Proceedings Volume 4421, 9th Congress of the International Colour Association; (2002) https://doi.org/10.1117/12.464753
Event: 9th Congress of the International Color Association, 2001, Rochester, NY, United States

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.

Citation Download Citation

Markku Hauta-Kasari, Juha Lehtonen, Jussi P. S. Parkkinen, and Timo Jaeaeskelaeinen "Representation of spectral images in data communication", Proc. SPIE 4421, 9th Congress of the International Colour Association, (6 June 2002); https://doi.org/10.1117/12.464753

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