Effectiveness assessment of signal processing in the presence of smear

Piet Bijl; Jaap A. Beintema; J. Dijk; Natasja van der Leden

doi:10.1117/12.850132

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22 April 2010 Effectiveness assessment of signal processing in the presence of smear

Piet Bijl, Jaap A. Beintema, J. Dijk, Natasja van der Leden

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Proceedings Volume 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI; 76620E (2010) https://doi.org/10.1117/12.850132
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Moving imagery from a static scene was recorded with an un-cooled thermal imager at nine different angular velocities ranging from 0 (static) to 1 pixel/frame (3.75 deg/s) using a tilted rotating mirror. The scene contained a thermal acuity test chart with triangular test patterns based on the Triangle Orientation Discrimination (TOD) test method. The imagery was processed with different types of image enhancement: DSR (Dynamic Super Resolution), LACE (Local Adaptive Contrast Enhancement) and combinations. DSR shows a significant performance improvement at low velocities, a moderate improvement at medium velocities where smear becomes apparent and no benefit at high speed. Performance with LACE is close to optimized gain and level setting by hand. Static performance and dynamic performance at 0.57 pixel/frame containing significant smear were compared with earlier published identification performance data for twohand held systems collected under a variety of signal processing conditions. It shows that the ratio M75 between the 75% correct threshold size for the two-hand held objects and the TOD triangle is preserved under all conditions measured. Thus, TA range prediction based on the TOD is robust against a complex combination of conditions, including motion, smear and the types of image enhancement applied.

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Piet Bijl, Jaap A. Beintema, J. Dijk, and Natasja van der Leden "Effectiveness assessment of signal processing in the presence of smear", Proc. SPIE 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI, 76620E (22 April 2010); https://doi.org/10.1117/12.850132

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