In pursuit of real time/on-the-fly image processing, a sensor with embedded algorithms for tracking is tested to determine its aliasing window whilst under laser interrogation. The characterization of the sensors and this interaction are explored, as well as the limitations thereof. This is follow on work to previous studies, in which both fixed frame rate sensors and adjustable frame rate sensors were tested to show the difference in response and functionality when subjected to Quantum Cascade Laser (QCL) modulation. A MIRAGE Infrared Scene Projector (IRSP) is used to add baseline signature for the sensor to follow before the laser signal is introduced. Discussions of further advancements in anti-aliasing algorithms are included as well.
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.