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Optical Engineering • Open Access

Model of thermal infrared image texture generation based on the scenery space frequency
Author(s): Hai-He Hu; Ting-Zhu Bai; Xiao-Xia Qu

Paper Abstract

Infrared texture is an important feature in identifying scenery. To simulate infrared image texture effectively at different distances, we propose a model of infrared image texture generation based on scenery space frequency and the image pyramid degradation principle. First, we build a spatial frequency filter model based on imaging distance, taking into account the detector’s maximum spatial frequency, and use the filter to process a “zero” distance infrared image texture. Second, taking into consideration the actual temperature difference of the scenery’s details due to variation of the imaging distance and the effect of atmospheric transmission, we compare the actual temperature difference with the minimum resolvable temperature difference of the thermal imaging system at a specific frequency and produce a new image texture. The results show that the simulated multiresolution infrared image textures produced by the proposed model are very similar (lowest mean square error=0.51 and highest peak signal-to-noise ratio=117.59) to the images captured by the thermal imager. Therefore, the proposed model can effectively simulate infrared image textures at different distances.

Paper Details

Date Published: 3 April 2015
PDF: 8 pages
Opt. Eng. 54(4) 043102 doi: 10.1117/1.OE.54.4.043102
Published in: Optical Engineering Volume 54, Issue 4
Show Author Affiliations
Hai-He Hu, Beijing Institute of Technology (China)
Ting-Zhu Bai, Beijing Institute of Technology (China)
Xiao-Xia Qu, Beijing Institute of Technology (China)

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