Image Descriptors for Displays
Abstract
This report summarizes the results of the experimental and theoretical efforts aimed at developing new image quality descriptors suitable for performance prediction and optimization of combined display-observer systems. The approach is that of linear systems analysis, using the methodology of statistical communications theory. The authors treat the processes of image display and perception in statistical terms and predict the most probable performance of the overall observer-imaging system. This report contains a number of important new results concerning the statistical properties of natural scenes, a complete, new, statistical treatment of the one-dimensional image sampling problem, a new descriptor suitable for the analysis of the perceived sharpness of two-dimensional analog (nonsampled) displays having nonisotropic point-spread functions, and data obtained from a set of psychophysical measurements aimed at the quantitative understanding of the two-dimensional sine wave response of human visual perception. The authors also report the development of a real-time optical block image processor that was developed for use for the experimental testing of our theoretical results.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1975
- Accession Number
- ADA007585
Entities
People
- Curtis R. Carlson
- Istvan Gorog
- Roger W. Cohen
Organizations
- Sarnoff Corporation