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 | |
| State | Published - 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.”