An HVS-Based Image Quality Measure

John A Saghri; Patrick S. Cheatham; All Habibi

doi:10.1117/12.948484

16 December 1988 An HVS-Based Image Quality Measure

John A Saghri, Patrick S. Cheatham, All Habibi

Proceedings Volume 0974, Applications of Digital Image Processing XI; (1988) https://doi.org/10.1117/12.948484
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

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.

Citation Download Citation

John A Saghri, Patrick S. Cheatham, and All Habibi "An HVS-Based Image Quality Measure", Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); https://doi.org/10.1117/12.948484

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available