Wavelength selection for synthetic image generation

G. W. Meyer

doi:10.1016/0734-189X(88)90117-X

Wavelength selection for synthetic image generation

G. W. Meyer

Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

56 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 language	English (US)
Pages (from-to)	57-79
Number of pages	23
Journal	Computer Vision, Graphics, & Image Processing
Volume	41
Issue number	1
DOIs	https://doi.org/10.1016/0734-189X(88)90117-X
State	Published - Jan 1 1988

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AB - 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

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Wavelength selection for synthetic image generation

Abstract

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