Hyperspectral imaging in color vision research: tutorial

Area of Science:

• Optics and Vision Science
• Image Analysis
• Color Science

Background:

• Hyperspectral imaging offers rich spectral information beyond traditional color imaging.
• Understanding human color vision requires precise spectral data.
• Previous research has explored various imaging techniques for visual studies.

Purpose of the Study:

• To provide an introductory tutorial on terrestrial and close-range hyperspectral imaging.
• To highlight the applications of hyperspectral imaging in human color vision research.
• To detail the methods for acquiring, processing, and calibrating hyperspectral data.

Main Methods:

• Description of main hyperspectral camera types.
• Procedures for image acquisition, postprocessing, and calibration (radiance/reflectance).
• Image transformations for colorimetric representations, color rendering, and neural coding.

Main Results:

• Demonstration of calculating scene color properties (e.g., gamut volume, metamerism).
• Analysis of color utility in observer tasks (e.g., surface identification under changing illuminants).
• Consideration of noise and uncertainty effects in data acquisition and color vision applications.

Conclusions:

• Hyperspectral imaging is a valuable tool for quantitative human color vision research.
• The presented methods enable detailed analysis of color properties and perception.
• Understanding image acquisition and processing is crucial for reliable color vision studies.