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Proceedings Article

Image quality assessment with a Gabor pyramid model of the human visual system

[+] Author Affiliations
Christopher C. Taylor, Zygmunt Pizlo, Jan P. Allebach, Charles A. Bouman

Purdue Univ. (USA)

Proc. SPIE 3016, Human Vision and Electronic Imaging II, 58 (June 3, 1997); doi:10.1117/12.274541
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From Conference Volume 3016

  • Human Vision and Electronic Imaging II
  • Bernice E. Rogowitz; Thrasyvoulos N. Pappas
  • San Jose, CA | February 08, 1997

abstract

Reliable image quality assessments are necessary for evaluating digital imaging methods (halftoning techniques) and products (printers, displays). Typically the quality of the imaging method or product is evaluated by comparing the fidelity of an image before and after processing by the imaging method or product. It is well established that simple approaches like mean squared error do not provide meaningful measures of image fidelity. A number of image fidelity metrics have been developed whose goal was to predict the amount of differences that would be visible to a human observer. In this paper we outline a new model of the human visual system (HVS) and show how this model can be used in image quality assessment. Our model departs from previous approaches in three ways: (1) We use a physiologically and psychophysically plausible Gabor pyramid to model a receptive field decomposition; (2) We use psychophysical experiments that directly assess the percept we wish to model; and (3) We model discrimination performance by using discrimination thresholds instead of detection thresholds. The first psychophysical experiment tested the visual system's sensitivity as a function of spatial frequency, orientation, and average luminance. The second experiment tested the relation between contrast detection and contrast discrimination.

© (1997) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Christopher C. Taylor ; Zygmunt Pizlo ; Jan P. Allebach and Charles A. Bouman
"Image quality assessment with a Gabor pyramid model of the human visual system", Proc. SPIE 3016, Human Vision and Electronic Imaging II, 58 (June 3, 1997); doi:10.1117/12.274541; http://dx.doi.org/10.1117/12.274541


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