Discrimination Based Gabor Pyramid Model for Image Fidelity Assessment
C.C. Taylor, J.P. Allebach, and Z. Pizlo,
"Discrimination Based Gabor Pyramid Model for Image Fidelity Assessment,"
Proceedings of the Eighth IEEE Workshop on Digital Signal Processing,
Bryce Canyon National Park, UT, 9-12 August 1998.
Abstract
In this paper we describe the Image Fidelity Assessor (IFA), a
model of the human visual system designed to evaluate perceived fidelity.
In particular, we describe the structure of the model, present results from
a contrast discrimination experiment that are used within the model, and
demonstrate preliminary results of the model. The IFA is designed to be both
physiologically and psychophysically plausible. It consists of a multichannel
Gabor pyramid decomposition. The fidelity at each spatial location within
each channel is evaluated based on psychometric functions. The psychometric
functions were determined experimentally and describe the discrimination
ability of the visual system as a function of spatial frequency, orientation,
and adaptation level.
Limited memory probability summation across the visual channels is used to
obtain a measure of perceived image fidelity. Preliminary results of the IFA
are consistent with human evaluation of image fidelity.
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