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Proceedings Paper

Experimental evaluation of psychophysical distortion metrics for JPEG-encoded images
Author(s): Daniel R. Fuhrmann; John A. Baro; Jerome R. Cox
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Paper Abstract

Two experiments for evaluating psychophysical distortion metrics for JPEG-encoded images are described. The first is a threshold experiment, in which subjects determined the bit rate or level of distortion at which distortion was just noticeable. The second is a suprathreshold experiment in which subjects ranked image blocks according to perceived distortion. The results of these experiments were used to determine the predictive value of a number of computed image distortion metrics. It was found that mean-square-error is not a good predictor of distortion thresholds or suprathreshold perceived distortion. Some simple point- wise measures were in good agreement with psychophysical data; other more computationally intensive metrics involving spatial properties of the human visual system gave mixed results. It was determined that mean intensity, which is not accounted for in the JPEG algorithm, plays a significant role in perceived distortion.

Paper Details

Date Published: 8 September 1993
PDF: 12 pages
Proc. SPIE 1913, Human Vision, Visual Processing, and Digital Display IV, (8 September 1993); doi: 10.1117/12.152692
Show Author Affiliations
Daniel R. Fuhrmann, Washington Univ. (United States)
John A. Baro, Univ. of Missouri/St. Louis (United States)
Jerome R. Cox, Washington Univ. (United States)


Published in SPIE Proceedings Vol. 1913:
Human Vision, Visual Processing, and Digital Display IV
Jan P. Allebach; Bernice E. Rogowitz, Editor(s)

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