NIHON GAZO GAKKAISHI (Journal of the Imaging Society of Japan)
Online ISSN : 1880-4675
Print ISSN : 1344-4425
ISSN-L : 1344-4425
Original Papers
RGB to Pseudo-Spectral Image Conversion Using Spectral Paletteand Compression by Singular Value Decomposition
Hiroaki KOTERA
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2003 Volume 42 Issue 3 Pages 215-223

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Abstract
A basic idea for embedding the spectral pallet in RGB pixels is proposed. A tri-color image is converted into the spectral image, whose pixel is replaced by the spectral reflectance having the closest colorimetric value to that of pixel by looking up the spectral color palette. SVD representation was very useful for the spectral image compression. We applied SVD for rearranged 36 pixels×36 spectra in local sub-divided block image, so that we could make use of strong correlations in both space and spectral distributions. The spectral image could be very well reproduced from a small number of singular values by SVD. Although a created image has not the real world spectra but palette-based pseudo-spectra, the proposed method could be applied to estimate how much the huge spectral image data could be compressed, and to simulate the color appearances for a given set of ink and paper media under the various light sources. The paper discusses the color reproducibility by SVD compression and introduces the estimated color appearances for inkjet prints under different fluorescent lamps.
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© 2003 by The Imaging Society of Japan
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