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Numerical methods for colorimetric calculations: Sampling density requirements
Author(s) -
Smith Brent,
Spiekermann Charles,
Sember Robert
Publication year - 1992
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.5080170605
Subject(s) - sampling (signal processing) , numerical integration , interval (graph theory) , sampling interval , computer science , mathematics , importance sampling , algorithm , statistics , mathematical analysis , monte carlo method , filter (signal processing) , combinatorics , computer vision
This article quantifies errors arising from various integration methods and from sampling density in the numerical estimation of colorimetric integrals, e.g., tristimulus values. Both data sampling density and various numerical integration method errors will be distinguished. A test is presented to quantify sampling interval requirements for accurate colorimetric calculations for various illuminants. © 1992 John Wiley & Sons, Inc.