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Conjoint analysis for evaluating parameterized gamut mapping algorithms.

Authors
  • Zolliker, Peter1
  • Baranczuk, Zofia
  • Sprow, Iris
  • Giesen, Joachim
  • 1 Media Technology Laboratory, Swiss Federal Laboratories for Materials Science and Testing, Uberlandstrasse 129, CH-8600 Dübendorf, Switzerland. [email protected] , (Switzerland)
Type
Published Article
Journal
IEEE Transactions on Image Processing
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
Mar 01, 2010
Volume
19
Issue
3
Pages
758–769
Identifiers
DOI: 10.1109/TIP.2009.2038833
PMID: 20031497
Source
Medline
License
Unknown

Abstract

We show that conjoint analysis, a popular multi-attribute 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 psycho-visual 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.

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