NIHON GAZO GAKKAISHI (Journal of the Imaging Society of Japan)
Online ISSN : 1880-4675
Print ISSN : 1344-4425
ISSN-L : 1344-4425
Original Papers
Adaptive Gamut Compression or Expansion based on Image Color Distribution
Keisuke MATSUOKARyoichi SAITOHiroaki KOTERA
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2006 Volume 45 Issue 2 Pages 97-102

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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.
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© 2006 by The Imaging Society of Japan
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