Effects of the retina-inspired light intensity encoding on color discrimination performance

• Published in: 2024 International Joint Conference on Neural Networks (IJCNN) pp. 1 - 8
• Main Authors: Yamada, Io, Okuno, Hirotsugu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 30-06-2024
• Subjects: Aerospace electronics; Color; color constancy; Computational modeling; Lighting; Matched filters; neuro-inspired; retinex; Robot vision systems; Visualization
• ISSN: 2161-4407
• DOI: 10.1109/IJCNN60899.2024.10650702

Color is an important source of information for visual functions such as object recognition, but it is greatly affected by the color of illumination. The ability to perceive the color of a visual target independent of illumination color is called color constancy (CC), and is an important feature for vision systems that use color information. In this study, we investigated the effects of the light intensity encoding function on the performance of CC of the center/surround (C/S) retinex model, which is a well-known model inspired by CC of the visual nervous system. The functions used to encode light intensity are the logarithmic function used in the original C/S retinex model and the Naka-Rushton (N-R) function, which is a model of retinal photoreceptor response. Color-variable LEDs were used to illuminate visual targets with various lighting colors, and color information computed by each model was used to evaluate the degree to which the color of visual targets illuminated with different lighting colors could be discriminated. Color information was represented using the HSV color space and a color plane based on the classical opponent color theory. The results showed that the combination of the N-R function and the double opponent color plane representation provided superior discrimination performance.