Investigation of Photographic Image Quality Estimators
Abstract
Three predictors of photographic image quality, Inverse Square Law (ISL), Modulation Transfer Function (MTF), and Sun's Equation, were compared against two subjective techniques: Resolving Power (RP) and Visual Image Evaluation (VIE), and five objective techniques: Acutance, Edge Width, Reciprocal Edge Spread (RES), and two MTF/Aerial Image Modulations (MTF/AIM). Tribar targets at four nominal contrast levels were photographed while the film plane was driven through 7 1/2 cycles of sinusoidal image motion at seven peak- to-peak displacement amplitudes, 0.00000, (i.e., static), 0.00025, 0.00050, 0. 00075, 0.00100, 0.00125, and 0.00150 inches. An analysis of variance (ANOVA) was performed for the RP data. Targets, Amplitudes, and their interaction were found to be highly significant (p < 0.01). The independent variables and their interactions accounted for over 96 percent of the total experimental variance. The three predictive models (ISL, MTF, and Sun's Equation) all were highly correlated (r > 0.96) linear functions of RP. The VIE technique also proved to be highly linear correlate of RP (r = 0.95915). The ANOVA for VIE yielded highly significant (p < 0.01) results for Subjects, Targets, Amplitudes, the Subjects x Targets, and the Subjects x Amplitudes interactions, and significant (p < 0.05) differences for the Targets x Amplitudes interaction.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1980
- Accession Number
- ADA087805
Entities
People
- Gilbert G. Kuperman
Organizations
- Air Force Research Laboratory