In this paper we present a spatial gamut mapping algorithm
that relies on a perceptually-based variational framework. Our method
adapts a well-known image energy functional whose minimization leads
to image enhancement and contrast modification. We show how by varying
the importance of the contrast term in the image functional we are
able to perform gamut reduction. We propose an iterative scheme that
allows our algorithm to successfully map the colors from the gamut of
the original image ...
In this paper we present a spatial gamut mapping algorithm
that relies on a perceptually-based variational framework. Our method
adapts a well-known image energy functional whose minimization leads
to image enhancement and contrast modification. We show how by varying
the importance of the contrast term in the image functional we are
able to perform gamut reduction. We propose an iterative scheme that
allows our algorithm to successfully map the colors from the gamut of
the original image to a given destination gamut while preserving the colors’
perception and texture close to the original image. Both subjective
and objective evaluation validate the promising results achieved via our
proposed framework.
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