1 May 1992 Optimal spectral sampling for color imaging
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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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carlos F. Borges, Carlos F. Borges, } "Optimal spectral sampling for color imaging", Proc. SPIE 1670, Color Hard Copy and Graphic Arts, (1 May 1992); doi: 10.1117/12.2322246; https://doi.org/10.1117/12.2322246


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