15 April 2008 Modeling the benefit of color in target acquisition: characterizing color vision
Author Affiliations +
This paper describes experiments to examine the role of color contrast in target identification and signal detection. Current models quantify the image quality of the achromatic visual channel. However, a chromatic map is also created in the visual cortex. The chromatic map has lower spatial resolution than the achromatic channel. The chromatic and achromatic channels are somehow combined in the visual cortex to provide a full-resolution, colored scene. Adding color to the current target acquisition model requires answering two primary questions. First, does color contribute to feature discrimination? Second, what are the spatial and sensitivity characteristics of color perception? This paper describes experiments to determine color contribution to object identification.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard Vollmerhausen, Jeffrey T. Olson, Joseph P. Reynolds, "Modeling the benefit of color in target acquisition: characterizing color vision", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 694105 (15 April 2008); doi: 10.1117/12.779297; https://doi.org/10.1117/12.779297


Nonuniformity corrections

Color vision

Spatial frequencies



Visual process modeling


Oh say, can you see? The physiology of vision
Proceedings of SPIE (June 01 1991)
Two-Channel Model Of Image Processing In The Human Retina
Proceedings of SPIE (November 02 1979)
Simulation of parvocellular demultiplexing
Proceedings of SPIE (June 01 1991)
Color-subspace-based color-coordinate system
Proceedings of SPIE (September 01 1990)

Back to Top