Vector space approach to color imaging systems

H. Joel Trussell; James R. Sullivan

doi:10.1117/12.19516

1 June 1990 Vector space approach to color imaging systems

H. Joel Trussell, James R. Sullivan

Proceedings Volume 1244, Image Processing Algorithms and Techniques; (1990) https://doi.org/10.1117/12.19516
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

Abstract

This paper describes the color imaging system in terms of vector space notation. This includes the effects of the scanning filters and the response of the eye as defined by the CIE color matching functions. This formulation allows many image processing techniques to be generalized to include more accurate models. The problem ofimage restoration is used as an example for the vector space approach. The problem is presented in hierarchical steps. Color scanning and effect of the human observer is presented first. The problem is extended to spatial representation and spatial processing. Finally, the effects of image reproduction are considered. The assumptions at each step of the modelling process are made explicit and simplifications are noted. The choice of defining the most appropriate optimization function is considered with respect to mathematical tractability as well as subjective accuracy.

Citation Download Citation

H. Joel Trussell and James R. Sullivan "Vector space approach to color imaging systems", Proc. SPIE 1244, Image Processing Algorithms and Techniques, (1 June 1990); https://doi.org/10.1117/12.19516

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