A Novel Method for Representation of Spectral Images Based on Color Matching Functions

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 181-182)
• Pages: 410-415
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.181-182.410
• Online since: January 2011
• Authors: Qiao Chen, Li Jie Wang, Stephen Westland
• Keywords: Color Matching Functions, Compression, Linear Model, Reflectance, Spectral Image

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