3.1 - Motion Deblurring of Infrared Images
- AMA Conferences 2017
2017-05-30 - 2017-06-01
- Proceedings IRS² 2017
- I3 - Thermal Imaging
- B. Oswald-Tranta - University of Leoben (Austria)
- 783 - 787
Infrared images of an uncooled micro-bolometer can show significant blurring effects by recording a moving object. The electrical signal in the pixel of a micro-bolometer detector decays exponentially, hence the moving object is mapped to more pixels resulting in a blurred image. Not only the contrast is corrupted by the motion, but also the temperature of the object seems to be significantly less. In this paper it is shown how such images can be deblurred and the true temperature with a good approximation restored. As the detection mechanism of a micro-bolometer camera is different to CCD or CMOS cameras, therefore the point spread function (PSF) needed for the deblurring restoration is also different. It is shown, how the exponential coefficient of the PSF can be calculated if the motion speed and the camera resolution are known, otherwise how it can be estimated from the image itself. Experimental examples are presented for motion deblurring used to restore images with linear or with rotational motion.