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Proceedings Paper

Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics
Author(s): Zhou Wang; Eero P. Simoncelli
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Paper Abstract

We propose a methodology for comparing and refining perceptual image quality metrics based on synthetic images that are optimized to best differentiate two candidate quality metrics. We start from an initial distorted image and iteratively search for the best/worst images in terms of one metric while constraining the value of the other to remain fixed. We then repeat this, reversing the roles of the two metrics. Subjective test on the quality of pairs of these images generated at different initial distortion levels provides a strong indication of the relative strength and weaknesses of the metrics being compared. This methodology also provides an efficient way to further refine the definition of an image quality metric.

Paper Details

Date Published: 7 June 2004
PDF: 10 pages
Proc. SPIE 5292, Human Vision and Electronic Imaging IX, (7 June 2004); doi: 10.1117/12.537129
Show Author Affiliations
Zhou Wang, New York Univ. (United States)
Eero P. Simoncelli, New York Univ. (United States)

Published in SPIE Proceedings Vol. 5292:
Human Vision and Electronic Imaging IX
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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