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Volume: 6 | Article ID: art00005
Learning Image Similarity Measures from Choice Data
  DOI :  10.2352/CGIV.2012.6.1.art00005  Published OnlineJanuary 2012

We present a corpus of experimental data from psychometric studies on gamut mapping and demonstrate its use to develop image similarity measures. We investigate whether similarity measures based on luminance (SSIM) can be improved when features based on chroma and hue are added.Image similarity measures can be applied to automatically select a good image from a sample of transformed images.

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Matthias Scheller Lichtenauer, Peter Zolliker, Ingmar Lissner, Jens Preiss, Philipp Urban, "Learning Image Similarity Measures from Choice Datain Proc. IS&T CGIV 2012 6th European Conf. on Colour in Graphics, Imaging, and Vision,  2012,  pp 24 - 30,

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