Image filtering and sampling in dynamic infrared projection systems

Owen M. Williams; Mark August Manzardo; Eddie Burroughs Jr.

doi:10.1117/12.280953

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15 July 1997 Image filtering and sampling in dynamic infrared projection systems

Owen M. Williams, Mark August Manzardo, Eddie Burroughs Jr.

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Proceedings Volume 3084, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing II; (1997) https://doi.org/10.1117/12.280953
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Image filtering in sampled dynamic infrared scene projection systems is examined from the point of view of providing an improved insight into the choice of the pixel mapping ratio between the projector and imaging unit-under-test. The 2D vector analysis underlying the transfer of image information in such systems is reviewed and is applied to the dynamic infrared scene projection case. It is shown that the 4:1 (2 X 2:1) pixel mapping ratio previously recommended in a desirable criterion from the spatial fidelity viewpoint, particularly when high spatial frequency information represented by point sources and scene edges is being projected. Cost constraints can, however, prevent the 4:1 mapping ratio from being met, in which case the effects on hardware-in-the-loop simulation validity need to be examined carefully. The vector analysis presented here provides a tool useful for the future examination of such cases.

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Owen M. Williams, Mark August Manzardo, and Eddie Burroughs Jr. "Image filtering and sampling in dynamic infrared projection systems", Proc. SPIE 3084, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing II, (15 July 1997); https://doi.org/10.1117/12.280953

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