Optimal spectral sampling for color imaging

Carlos F. Borges

doi:10.1117/12.2322246

1 May 1992 Optimal spectral sampling for color imaging

Carlos F. Borges

Proceedings Volume 1670, Color Hard Copy and Graphic Arts; (1992) https://doi.org/10.1117/12.2322246
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

I consider the problem of numerically computing tristimulus values for a given spectral power density. In particular, I examine the use of interpolatory quadrature rules for the solution of this problem. A good deal of effort has gone into creating tables of weights and abcissas for solving this problem [3]. Wallis [2] has proposed a more sophisticated approach using Gauss quadrature rules. I show that the performance of these techniques can be improved in a well-defined sense, and derive a method based on a new class of quadrature rules. These rules give optimal performance in the sense that they maximize the overall degree of precision while simultaneously minimizing the number of function evaluations.

Citation Download Citation

Carlos F. Borges "Optimal spectral sampling for color imaging", Proc. SPIE 1670, Color Hard Copy and Graphic Arts, (1 May 1992); https://doi.org/10.1117/12.2322246

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