Hyperspectral imaging in color vision research: tutorial

Research output: Contribution to journalArticle


This tutorial offers an introduction to terrestrial and close-range hyperspectral imaging and some of its uses in human color vision research. The main types of hyperspectral cameras are described together with procedures for image acquisition, postprocessing, and calibration for either radiance or reflectance data. Image transformations are defined for colorimetric representations, color rendering, and cone receptor and postreceptor coding. Several example applications are also presented. These include calculating the color properties of scenes, such as gamut volume and metamerism, and analyzing the utility of color in observer tasks, such as identifying surfaces under illuminant changes. The effects of noise and uncertainty are considered in both image acquisition and color vision applications.

Bibliographical metadata

Original languageEnglish
Pages (from-to)606
Number of pages627
JournalOptical Society of America. Journal A: Optics, Image Science, and Vision
Issue number4
Publication statusPublished - 20 Mar 2019