Accuracy analysis of a computerized color vision test across different displays

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Authors: Dan Zhang, Shining Ma, Yong Tao, Liang Jia, Yue Liu, Yongtian Wang, Weitao Song
Cited by: 1
References: 24

Abstract

This study explores how various display characteristics-such as chromatic gamut, peak luminance, color reproduction methods, and substrate grayscale-affect the diagnostic performance of the Computerized Color Vision Test (CCVT). Through both theoretical simulations and psychophysical experiments, the research examines the impact of these factors on test accuracy for color vision deficient (CVD) individuals. The findings highlight that perceptual-based color reproduction methods can improve test consistency across different display settings by reducing the impact of chromatic gamut, backlight luminance, and grayscale variations. These insights are essential for optimizing color reproduction settings, ultimately enhancing the clinical accuracy of CCVT across a range of display devices.

Fields of Study & Subjects

Surface Roughness and Optical Measurements Industrial Vision Systems and Defect Detection Ergonomics and Musculoskeletal Disorders

Publication details

Journal / source
Optics Express
Publisher
Optica Publishing Group
Volume
34
Issue
5
Pages
7239–7239
Publication date
3 February 2026
Language
EN