Premium
Comparison of color vision models based on spectral color representation
Author(s) -
Jetsu Tuija,
Heikkinen Ville,
Pogosova Anahit,
Jaaskelainen Timo,
Parkkinen Jussi
Publication year - 2009
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.20504
Subject(s) - hue , color vision , artificial intelligence , color model , computer vision , computer science , color space , color balance , hsl and hsv , lightness , pattern recognition (psychology) , color image , image processing , image (mathematics) , virus , virology , biology
Recent break‐throughs in retinal imaging have raised new questions for color vision research, and the existing color vision models should be re‐evaluated. Many color vision models are based on an assumption that there are no differences in the detection phase, neither in the spatial configuration nor in the spectral sensitivities of cells. In this article, we have run experiments with four different color vision models. This evaluation gives us more knowledge about the essential properties of the models. We show how the tested color vision models are able to replicate the behaviour of human color vision by evaluating their performance in Farnsworth‐Munsell 100‐Hue color vision test. Also, the wavelength discrimination power of each model is presented and the properties of color spaces spanned by models are examined using samples from Munsell Book of Color. Our experiments show that there are large differences in the properties of different models. © 2009 Wiley Periodicals, Inc. Col Res Appl, 34, 341–350, 2009