Wavelength selection for synthetic image generation

G. W. Meyer

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

It has been shown that the opponent representation of the fundamental spectral sensitivity functions is optimal from the point of view of statistical communication theory. This is used to guide the selection of wavelengths for synthetic image generation. Gaussian quadrature with the opponent fundamentals as weighting functions is utilised to select the wavelengths. This is shown to be superior to using Gaussian quadrature with the fundamental spectral sensitivity functions or the CIE XYZ matching functions. -from Author

Original languageEnglish (US)
Pages (from-to)57-79
Number of pages23
JournalComputer Vision, Graphics, & Image Processing
Volume41
Issue number1
DOIs
StatePublished - 1988

Bibliographical note

Funding Information:
Professor Donald P. Greenberg supervised this research from its inception. Help in performing the statistical analysis was provided by Professor Thomas Gilovich. Holly Rushmeier and Michael Cohen helped construct the equipment for the comparison experiment and assisted in conducting the tests that were involved. Michael also wrote the radiosity software that was used to produce the pictures that were used in these experiments. This work was performed under partial funding by National Science Foundation grant DCR-8203979, “Interactive Computer Graphics Input and Display Techniques.”

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