Optimization of RGB Illumination for Color Discrimination Enhancement Using a Fuzzy Logic Model
Year: 2026
Type: conference-paper
Abstract: Color vision deficiency can make it difficult to distinguish between certain color shades, which may cause problems in occupations where accurate color identification is required. This paper presents the design and development of a color discrimination improvement illumination that assists users with color vision deficiency through controlled illumination rather than color vision correction lenses. The system uses an adjustable RGB LED light source to modify the spectral power distribution of the illumination, thereby reproducing the visual effect of color vision correction lenses. To improve color similarity, a fuzzy logic–based optimization model was applied to correct deviations between target and generated color coordinates in the CIE Lab color space. Simulation results show that the proposed method can significantly reduce color differences and improve color discrimination. The developed workbench therefore may offer a practical solution for enhancing color perception in specific work environments where reliable color recognition is required.
Authors: Ingrid Langer, Edit Laufer
Institution: Obuda University
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204182717