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
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Forward looking infrared

Algorithm development

Quantum cascade lasers

Pulsed laser operation

Cameras

Image processing

RELATED CONTENT


Back to Top