Year: 2009
Type: article
Abstract: Colour constancy algorithms aim at correcting colour towards a correct perception within \nscenes. To achieve this goal they estimate a white point (the illuminant's colour), and correct \nthe scene for its in uence. In contrast, colour management performs on input images colour \ntransformations according to a pre-established input pro le (ICC pro le) for the given con- \nstellation of input device (camera) and conditions (illumination situation). The latter case \npresents a much more analytic approach (it is not based on an estimation), and is based on \nsolid colour science and current industry best practises, but it is rather in exible towards cases \nwith altered conditions or capturing devices. The idea as outlined in this paper is to take up \nthe idea of working on visually linearised and device independent CIE colour spaces as used \nin colour management, and to try to apply them in the eld of colour constancy. For this \npurpose two of the most well known colour constancy algorithms White Patch Retinex and \nGrey World Assumption have been ported to also work on colours in the CIE LAB colour \nspace. Barnard's popular benchmarking set of imagery was corrected with the original imple- \nmentations as a reference and the modi ed algorithms. The results appeared to be promising, \nbut they also revealed strengths and weaknesses.
Author: Guy K. Kloss
Institution: Massey University
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W70157034