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Contribution to Spatial Gamut Mapping Algorithms

Abstract : Achieving an accurate print reproduction of a color present in a given image might be impossible when this color is not part of the gamut of colors that the printer can reproduce. Usually the reproduction is then achieved by replacing this color with a color perceived as close in the color gamut of the printer. This mapping to another color is made by a gamut mapping algorithm. In this thesis we describe the work carried out in the development of new spatial and color adaptive gamut mapping algorithms. These algorithms act locally in the image to generate a reproduction perceived as close to the original. Their goal is to preserve both the color values of the pixels and the colorimetric relations between neighbors. We first propose a mathematical framework encompassing the existing spatial gamut mapping algorithms. Next we introduce two new algorithms within the proposed mathematical framework. In the spatial and color adaptive compression we project each color pixel lying outside the output gamut toward the center, more or less deeply inside the gamut depending on its neighbors. In the spatial and color adaptive clipping the direction of the projection of each color pixel is a variable, set per pixel to better preserve the local energy in the resulting image. We then consider the role of the Modulation Transfer Function of the printing system in the perceived quality of the reproduction. We design a bias-dependent algorithm to optimally compensate for the MTF of the printing system. Lastly we present the evaluation of the proposed algorithms conducted within a psychophysical experiment, its results demonstrate the improvement in the quality of reproduction.
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Contributor : Ecole Télécom ParisTech Connect in order to contact the contributor
Submitted on : Friday, April 10, 2009 - 8:00:00 AM
Last modification on : Friday, July 31, 2020 - 10:44:05 AM
Long-term archiving on: : Saturday, November 26, 2016 - 11:10:18 PM


  • HAL Id : pastel-00004856, version 1



Nicolas Bonnier. Contribution to Spatial Gamut Mapping Algorithms. domain_other. Télécom ParisTech, 2008. English. ⟨pastel-00004856⟩



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