Conjoint analysis for evaluating parameterized gamut mapping algorithms

Authors:
Peter Zolliker;Zofia Barańczuk;Iris Sprow;Joachim Giesen
Affiliations:
Media Technology Laboratory, Swiss Federal Laboratories for Materials Science and Testing, Dübendorf, Switzerland;Media Technology Laboratory, Swiss Federal Laboratories for Materials Science and Testing, Dübendorf, Switzerland;Media Technology Laboratory, Swiss Federal Laboratories for Materials Science and Testing, Dübendorf, Switzerland;Friedrich-Schiller-University, Jena, Germany
Venue:
IEEE Transactions on Image Processing
Year:
2010

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Abstract

We show that conjoint analysis, a popular multiattribute preference assessment technique used in market research, is a well suited tool to evaluate a multitude of gamut mapping algorithms simultaneously. Our analysis is based on data from psychovisual tests assessed in a laboratory and in a web environment. Conjoint analysis allows us to quantify the contribution of every single parameter value to the perceived value of the algorithm; it also allows us to test the influence of additional parameters like gamut size or color shifts.We show that conjoint analysis can be individualized to images or observers if enough data is available. Especially promising in this respect is the combination of individual and population data.