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Volume: 25 | Article ID: art00035
Gamut Reduction Through Local Saturation Reduction
  DOI :  10.2352/ISSN.2169-2629.2017.25.214  Published OnlineSeptember 2017

This work presents a local (spatially-variant) gamut reduction algorithm that operates only on the saturation channel of the image, keeping hue and value constant. Saturation is reduced by an iterative method that comes from inverting the sign in a 2D formulation of the Retinex algorithm of Land and McCann. This method outperforms the state-of-the-art both according to a quantitative metric and in terms of subjective visual appearance.

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Syed Waqas Zamir, Javier Vazquez-Corral, Marcelo Bertalmío, "Gamut Reduction Through Local Saturation Reductionin Proc. IS&T 25th Color and Imaging Conf.,  2017,  pp 214 - 218,

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