Share Email Print
cover

Proceedings Paper

High fidelity imager emulator of measured systems
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Characterizing an imaging system through the use of linear transfer functions allows prediction of the output for an arbitrary input. Through careful measurement of the systems transfer function, imaging effects can then be applied to desired imagery in order to conduct subjective comparison, image based analysis, or evaluate algorithm performance. The Night Vision Integrated Performance Model (NV-IPM) currently utilizes a two-dimensional linear model of the systems transfer function to emulate the systems response and additive signal independent noise. In this correspondence, we describe how a two-dimensional MTF can be obtained through correct interpolation of one-dimensional measurements. We also present a model for the signal dependent noise (additive and multiplicative) and the details of its calculation from measurement. Through modeling of the experimental setup, we demonstrate how the emulated sensor replicates the observed objective performance in resolution, sampling, and noise. In support of the reproducible research effort, many of the Matlab functions associated with this work can be found on the Mathworks file exchange [1].

Paper Details

Date Published: 3 May 2017
PDF: 14 pages
Proc. SPIE 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII, 101780B (3 May 2017); doi: 10.1117/12.2260887
Show Author Affiliations
David P. Haefner, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Brian P. Teaney, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 10178:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII
Gerald C. Holst; Keith A. Krapels, Editor(s)

© SPIE. Terms of Use
Back to Top