don't know, other than the iStar process (do a search, it was discussed here recently), we have a means of defining matching colors based on color appearance models.
Hi Andrew. I wrote the following last year on the subject, whilst discussing CIECAM02 in digital imaging. It may be of interest to you. Sorry to the rest a bit off subject.
In order to construct a chromatic adaptation model it was necessary to obtain data on the way
the visual system adapted to changes in viewing conditions. Several experiments were carried
out including those by Mori et al. from the Color Science Association of Japan, McCann et
al., and Breneman using a haploscopic matching technique; Helson et al., Lam and Rigg and
Braun and Fairchild using the memory matching technique; and Luo et al. and Kuo et al.
using the magnitude estimation method. (LUO AND CHANGJUN 2007 P263). These experiments
produced data sets called Corresponding Colours.
Corresponding Colours can be defined as a pair of colours or stimuli which are perceived to
be of the same appearance when viewed under different conditions. (FAIRCHILD 2005 P 160)
Of the methods used to determine Corresponding Colours, as mentioned above, Haploscopic
Matching involved visually isolating each eye and creating two different viewing
environments. Each eye would therefore adapt to its own environment. A test sample would
be presented on one eye and various samples presented to the other. When there was a match
the CIEXYZ value would be noted. Over time a set of Corresponding Colours would be
created. This experiment assumed that independent adaptation occurred in each eye but does
not account for the cognitive response (FAIRCHILD 2005 P160).
Magnitude Estimation involves assigning a numerical value to appearance attributes to
different stimuli. The observer is adapted to one particular viewing condition and is asked
to describe the colour in terms of Lightness, Chroma, Hue, Colourfulness or Brightness.
(FAIRCHILD 2005 P161). The experiment would be repeated using the same set of colours but
under different viewing conditions. Colours obtaining the same attribute score would be
deemed a corresponding pair. This experiment takes into account both the
sensory and cognitive adaptation mechanisms.
To produce a more natural method of matching colours, a technique called Memory Matching
was used. The observer would se a colour under one viewing condition and then try to match
the colour under the second viewing condition by using memory only. In the experiments
by Helson Judd and Warren in 1952, Munsel patches were used as the primary samples.
(FAIRCHILD 2005 P161).
From these experiments a wide range of corresponding colours data was produced. This
information was a the starting point for a chromatic adaptation model. The CIEXYZ values
of the test colour under viewing condition 1, now had corresponding CIEXYZ values of its
appearance match under viewing condition 2. The difference between XYZ1 and XYZ2 is
known as the adaptive colour shift and it is the shift that the chromatic adaptation transform
attempt to calculate. (HUNT 2004 P590)
Fairchild, M. (2005) Colour Appearance Models Reading, MA: Addison Wesley.
Hunt, R. W. G. (2004) The reproduction of Colour (6th edition), Tolworth: Fountain
Press.
Luo, M.R. and Changjun, L (2007), CIE Colour Appearance Models and Associated
Colour Spaces, Colorimetry, Understanding the CIE System, J Shanda (Ed), John
Wiley & Sons, Inc., Hoboken, New Jersey.
