A method for the automatic analysis of colour category pixel shifts during dichromatic vision

Authors:
Mike Bennett;Aaron Quigley
Affiliations:
Imaging, Visualisation & Graphics Lab, Systems Research Group, School of Computer Science & Informatics, University College Dublin, Dublin 4, Ireland;Imaging, Visualisation & Graphics Lab, Systems Research Group, School of Computer Science & Informatics, University College Dublin, Dublin 4, Ireland
Venue:
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Year:
2006

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Abstract

In this paper we present a method for automatically evaluating the amount of colour changes images undergo when perceived by individuals with colour deficient vision. This measure enables the classification of images based on the extent images visually change when viewed by people with one of the three classes of dichromatic (protanopia, deuteranopia, and tritanopia) colour vision. By measuring the extent that colour images appear perceptually different a designer, or automated layout technique, will have an indication of whether the choice of colour usage in an image could lead to colour ambiguity or colour confusions.