Color image enhancement technique using gamut mapping based on color space division

Abstract

G This paper proposes a gamut mapping algorithm based on color space division for color reproduction of cross media. As each color device has a limited range of producible colors, the reproduced colors on a destination device are different from those of the original device. In order to reduce the color difference between those devices, the proposed method divides the whole gamut into parabolic shapes based on intersecting lightness by the "just noticeable difference" (JND) and the boundary of original gamut. By dividing the gamut with parabolic shapes and piecewise mapping of each region, it not only considers gamut characteristics but also provides for mapping uniformity. The lightness variations are more sensitive to the human visual system and by using lightness JND it can restrict lightness mapping variations that are unperceivable. As a result, the proposed algorithm is able to reproduce high quality color images using low-cost color devices.

P‐28: A Gamut Mapping Algorithm Based on Partition Mapping Method

“…One aspect of is how to get balance between E and texture details. The other aspect is that human perception is more sensitive to intensity under low brightness situation [4]. While the image with lower lightness, the small intensity variation should be considered.…”