Learning Image Similarity Measures from Choice Data

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.

[1]  Peter Zolliker,et al.  Retaining Local Image Information in Gamut Mapping Algorithms , 2007, IEEE Transactions on Image Processing.

[2]  Peter G. Engeldrum,et al.  Psychometric Scaling: A Toolkit for Imaging Systems Development , 2000 .

[3]  Ingmar Lissner,et al.  Toward a Unified Color Space for Perception-Based Image Processing , 2012, IEEE Transactions on Image Processing.

[4]  Jon Yngve Hardeberg,et al.  Perceptual evaluation of color gamut mapping algorithms , 2008 .

[5]  L. Thurstone A law of comparative judgment. , 1994 .

[6]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[7]  Peter Zolliker,et al.  Image Fusion for optimizing Gamut Mapping , 2011, Color Imaging Conference.

[8]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[9]  Ingmar Lissner,et al.  The Impact of Image-Difference Features on Perceived Image Differences , 2012, CGIV.

[10]  Eric C. Larson,et al.  Most apparent distortion: full-reference image quality assessment and the role of strategy , 2010, J. Electronic Imaging.

[11]  Alan C. Bovik,et al.  A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms , 2006, IEEE Transactions on Image Processing.

[12]  Peter Zolliker,et al.  Error estimation of paired comparison tests for Thurstone's Case V , 2010, CGIV/MCS.

[13]  Nikolay N. Ponomarenko,et al.  TID2008 – A database for evaluation of full-reference visual quality assessment metrics , 2004 .

[14]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[15]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[16]  Patrick Le Callet,et al.  Subjective quality assessment IRCCyN/IVC database , 2004 .

[17]  Mark D. Fairchild,et al.  Development and Testing of a Color Space (IPT) with Improved Hue Uniformity , 1998, CIC.

[18]  Peter Zolliker,et al.  Image-Individualized Gamut Mapping Algorithms , 2010 .

[19]  Peter Zolliker,et al.  Image-Dependent Gamut Mapping as Optimization Problem , 2007, IEEE Transactions on Image Processing.

[20]  Klaus Witt,et al.  The story of the DIN color system , 1986 .

[21]  Peter Zolliker,et al.  Conjoint Analysis for Evaluating Parameterized Gamut Mapping Algorithms , 2010, IEEE Transactions on Image Processing.