A Novel Method for Representation of Spectral Images Based on Color Matching Functions
Spectral images contain a large volume of data and the development of multispectral imaging systems places considerable demands on computer hardware and software compared with standard three-component or trichromatic image storage and processing. This study is concerned with lossy compression techniques for spectral images since many color images are intended for display for human perception and it is well established that images contain redundancies (in terms of their color, spatial and temporal properties) that can be removed without any loss in image quality. The lossy compression technique that is considered in this work is a low-dimensional linear model of spectral reflectance, with which the basis function are derived from color matching functions that are correlated with human visual system.
Qi Luo and Yuanzhi Wang
Q. Chen et al., "A Novel Method for Representation of Spectral Images Based on Color Matching Functions", Advanced Materials Research, Vols. 181-182, pp. 410-415, 2011