Paper
5 October 2017 Anti-aliasing algorithm development
F. Bodrucki, J. Davis, J. Becker, J. Cordell
Author Affiliations +
Proceedings Volume 10435, Technologies for Optical Countermeasures XIV; 104350K (2017) https://doi.org/10.1117/12.2278287
Event: SPIE Security + Defence, 2017, Warsaw, Poland
Abstract
In this paper, we discuss the testing image processing algorithms for mitigation of aliasing artifacts under pulsed illumination. Previously sensors were tested, one with a fixed frame rate and one with an adjustable frame rate, which results showed different degrees of operability when subjected to a Quantum Cascade Laser (QCL) laser pulsed at the frame rate of the fixe-rate sensor. We implemented algorithms to allow the adjustable frame-rate sensor to detect the presence of aliasing artifacts, and in response, to alter the frame rate of the sensor. The result was that the sensor output showed a varying laser intensity (beat note) as opposed to a fixed signal level.

A MIRAGE Infrared Scene Projector (IRSP) was used to explore the efficiency of the new algorithms, introduction secondary elements into the sensor's field of view.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Bodrucki, J. Davis, J. Becker, and J. Cordell "Anti-aliasing algorithm development ", Proc. SPIE 10435, Technologies for Optical Countermeasures XIV, 104350K (5 October 2017); https://doi.org/10.1117/12.2278287
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Forward looking infrared

Algorithm development

Quantum cascade lasers

Pulsed laser operation

Cameras

Image processing

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