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4 November 2010 Computational reconstruction of thermal infrared integral image based on modeling sensor physical effects
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A thermal infrared(MWIR or LWIR) integral imaging(II) system is proposed for acquiring and displaying 3D surface infrared emission radiance information of a real target. To intuitively analyze infrared integral image quality, we perform the numerical simulation and reconstruction of thermal integral image based on the modeling of sensor physical effects. Specifically, the 3D object with thermal infrared radiance texture is first focused into infrared elemental images by combining the virtual model of infrared microlens array and the response characteristics of detector array. Further, the displayed thermal elemental images are obtained by simulating main degradation factors including the spatial filtering blur, sampling effects, and spatial-temporal noise involved in practical infrared sensor. Finally, the thermal infrared 3D integral image is reconstructed by plane-plane reconstruction technique (PPRT) method based on the degraded elemental images. Their simulation results are demonstrated and analyzed. To the best of our knowledge, this is the first time to study thermal infrared II system and implement computational II reconstruction by considering thermal sensor physical effects.
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Xiaorui Wang, Qiang Guo, and Dongyang Zhang "Computational reconstruction of thermal infrared integral image based on modeling sensor physical effects", Proc. SPIE 7854, Infrared, Millimeter Wave, and Terahertz Technologies, 785428 (4 November 2010);

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