Abstract
Gamut Mapping Algorithm (GMA) is a key technology to meet the demand for a high-quality color reproduction across different media. So far a most typical application of GMA addressed to map a wide-gamut display image onto a narrow-gamut print image. We reported a narrow to wide “expansion” GMA is useful for an image taken under bad illumination or faded pictures. This paper proposes a versatile GMA with bi-directional function of “compression” or “expansion”. A proposed GMA uses a simple GBD (Gamut Boundary Descriptor) called r-image, a set of maximum radial vectors represented by a 2D gray scale image. The paper examines how to decide which should be applied, compression or expansion in reference to the each r-image of image and device and introduces gamut expansion results applied to the different devices.
