Relaxed forced choice improves performance of visual quality assessment methods
Author:
Affiliation:
1. University of Konstanz,Department of Computer and Information Science,Konstanz,Germany
2. University of Konstanz,Department of Psychology,Konstanz,Germany
3. School of Engineering and Sustainable Development, De Montfort University,Leicester,UK
Funder
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
University of Konstanz
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10178424/10178104/10178467.pdf?arnumber=10178467
Reference31 articles.
1. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
2. A new method for evaluating the subjective image quality of photographs: dynamic reference
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4. MDID: A multiply distorted image database for image quality assessment
5. Nonparametric tests for equality of psychometric functions
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