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Proceedings Paper

An HVS-Based Image Quality Measure
Author(s): John A Saghri; Patrick S. Cheatham; All Habibi
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Paper Abstract

A preliminary image quality measure which attempts to take into account the sensitivities of the human visual system (HVS) is described. The main sensitivities considered are the background illumination-level and spatial frequency sensitivities. Given a digitized image the algorithm produces, among several other figures of merit, a plot of the information content (IC) versus the resolution. The IC for a given resolution is defined here as the sum of the weighted spectral components at that resolution. The HVS normalization is done via first intensity-remapping the image by a monotone increasing funciton representing the background illumination-level sensitivity, followed by a spectral filtering via an HVS-derived weighting function representing the spatial frequency sensitivity. The developed quality measure is conveniently parametereized and interactive. It allows experimentation with numerous parameters of the HVS model to determine the optimum set for which the high-est correlation with subjective evaluations can be achieved.

Paper Details

Date Published: 16 December 1988
PDF: 9 pages
Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); doi: 10.1117/12.948484
Show Author Affiliations
John A Saghri, The Aerospace Corporation (United States)
Patrick S. Cheatham, The Aerospace Corporation (United States)
All Habibi, The Aerospace Corporation (United States)

Published in SPIE Proceedings Vol. 0974:
Applications of Digital Image Processing XI
Andrew G. Tescher, Editor(s)

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