Gamut Mapping Based-on Color Space Division for Enhancement of Lightness Contrast and Chrominance

摘要

This paper proposes a gamut mapping algorithm based on color space division for cross media c olor r eproduction. As each color device has a limited range of producible colors, reproduced colors on a destination device are different from those of the original device. In order to reduce the color difference, the proposed method divides the whole gamut into parabolic shapes based on intersecting lightness by the just noticeable difference (JND) and the original device gamut boundary. Dividing the gamut with parabolic shapes and piecewise mapping of each region n ot only c onsiders g amut c haracteristics b ut also provides for mapping uniformity. Also the lightness variations are more sensitive to the human visual system and it can restrict unperceivable lightness mapping variations using lightness JND. As a result, the proposed algorithm is able to reproduce high quality images using low-cost color devices.