Colour constancy using von Kries transformations: colour constancy "goes to the Lab"
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Date
2009
DOI
Open Access Location
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Publisher
Massey University
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Abstract
Colour constancy algorithms aim at correcting colour towards a correct perception within
scenes. To achieve this goal they estimate a white point (the illuminant's colour), and correct
the scene for its in uence. In contrast, colour management performs on input images colour
transformations according to a pre-established input pro le (ICC pro le) for the given con-
stellation of input device (camera) and conditions (illumination situation). The latter case
presents a much more analytic approach (it is not based on an estimation), and is based on
solid colour science and current industry best practises, but it is rather in exible towards cases
with altered conditions or capturing devices. The idea as outlined in this paper is to take up
the idea of working on visually linearised and device independent CIE colour spaces as used
in colour management, and to try to apply them in the eld of colour constancy. For this
purpose two of the most well known colour constancy algorithms White Patch Retinex and
Grey World Assumption have been ported to also work on colours in the CIE LAB colour
space. Barnard's popular benchmarking set of imagery was corrected with the original imple-
mentations as a reference and the modi ed algorithms. The results appeared to be promising,
but they also revealed strengths and weaknesses.
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Keywords
Colour constancy, von Kries transformation, Bradford transformation, Colour spaces, CIE LAB, White point estimation
Citation
Kloss, G.K. (2009), Colour constancy using von Kries transformations: colour constancy "goes to the Lab", Research Letters in the Information and Mathematical Sciences, 13, 19-33