Colour Gamut Mapping as a Constrained Variational Problem
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Tone mapping and enhancement of high dynamic range images based on a model of visual perception
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Conjoint analysis for evaluating parameterized gamut mapping algorithms
IEEE Transactions on Image Processing
Spatial colour gamut mapping by means of anisotropic diffusion
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Gamut Mapping Spatially Varying Reflectance with an Improved BRDF Similarity Metric
Computer Graphics Forum
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Our topic is the potential of combining global gamut mapping with spatial methods to retain the percepted local image information in gamut mapping algorithms. The main goal is to recover the original local contrast between neighboring pixels in addition to the usual optimization of preserving lightness, saturation, and global contrast. Special emphasis is placed on avoiding artifacts introduced by the gamut mapping algorithm itself. We present an unsharp masking technique based on an edge-preserving smoothing algorithm allowing to avoid halo artifacts. The good performance of the presented approach is verified by a psycho-visual experiment using newspaper printing as a representative of a small destination gamut application. Furthermore, the improved mapping properties are documented with local mapping histograms