Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color-Defective Vision and Computer Graphics Displays
IEEE Computer Graphics and Applications
Color Co-occurence Descriptors for Querying-by-Example
MMM '98 Proceedings of the 1998 Conference on MultiMedia Modeling
Temporal Color Correlograms for Video Retrieval
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Towards Image Retrieval for Eight Percent of Color-Blind Men
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Color discrimination enhancement for dichromats using self-organizing color transformation
Information Sciences: an International Journal
Mining dichromatic colours from video
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
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Colour appears to gradually play more and more significant role in the modern digital world. However, about eight percent of the population are protanopic and deuteranopic viewers who have difficulties in seeing red and green respectively. In this paper, we identify a correspondence between the 256 standard colours and their dichromatic versions so that the perceived difference between any pair of colours seen by people with normal vision and dichromats is minimised. Colour dissimilarity is measured using the Euclidean metric in the Lab colour space. The optimisation is performed using a randomised approach based on a greedy algorithm. A database comprising 12000 high quality images is employed for calculating frequencies of joint colour appearance used for weighting colour dissimilarity matrices.