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Image based performance analysis of thermal imagers

: Wegner, Daniel; Repasi, Endre


Holst, G.C. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII 2016 : 19-21 April 2016, Baltimore, Maryland, United States
Bellingham, WA: SPIE, 2016 (Proceedings of SPIE 9820)
ISBN: 9781510600614
Paper 982016
Conference "Infrared Imaging Systems - Design, Analysis, Modeling, and Testing" <27, 2016, Baltimore/Md.>
Fraunhofer IOSB ()
thermal imager assessment; image based assessment; IR-Scene Projector

Due to advances in technology, modern thermal imagers resemble sophisticated image processing systems in functionality. Advanced signal and image processing tools enclosed into the camera body extend the basic image capturing capability of thermal cameras. This happens in order to enhance the display presentation of the captured scene or specific scene details. Usually, the implemented methods are proprietary company expertise, distributed without extensive documentation. This makes the comparison of thermal imagers especially from different companies a difficult task (or at least a very time consuming/expensive task - e.g. requiring the execution of a field trial and/or an observer trial). For example, a thermal camera equipped with turbulence mitigation capability stands for such a closed system. The Fraunhofer IOSB has started to build up a system for testing thermal imagers by image based methods in the lab environment. This will extend our capability of measuring the classical IR-system parameters (e.g. MTF, MTDP, etc.) in the lab. The system is set up around the IR- scene projector, which is necessary for the thermal display (projection) of an image sequence for the IR-camera under test. The same set of thermal test sequences might be presented to every unit under test. For turbulence mitigation tests, this could be e.g. the same turbulence sequence. During system tests, gradual variation of input parameters (e. g. thermal contrast) can be applied. First ideas of test scenes selection and how to assembly an imaging suite (a set of image sequences) for the analysis of imaging thermal systems containing such black boxes in the image forming path is discussed.