Journal cover Journal topic
Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
Journal topic

Journal metrics

Journal metrics

  • CiteScore value: 1.05 CiteScore 1.05
  • SNIP value: 1.044 SNIP 1.044
  • SJR value: 0.289 SJR 0.289
  • IPP value: 0.85 IPP 0.85
  • h5-index value: 8 h5-index 8
  • Scimago H index value: 5 Scimago H index 5
Volume 7, issue 1
J. Sens. Sens. Syst., 7, 13-20, 2018
https://doi.org/10.5194/jsss-7-13-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Sensor/IRS2 2017

J. Sens. Sens. Syst., 7, 13-20, 2018
https://doi.org/10.5194/jsss-7-13-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Regular research article 11 Jan 2018

Regular research article | 11 Jan 2018

Temperature reconstruction of infrared images with motion deblurring

Beate Oswald-Tranta Beate Oswald-Tranta
  • Institute for Automation, University of Leoben, Leoben 8700, Austria

Abstract. Infrared images of an uncooled microbolometer camera can show significant blurring effects while recording a moving object. The electrical signal in the pixel of a microbolometer 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 lower. In this paper, it is shown how such images can be deblurred and the true temperature with a good approximation restored. Since the detection mechanism of a microbolometer camera is different from complementary metal–oxide–semiconductor (CMOS) or charge-coupled device (CCD) cameras, also the point-spread function (PSF) needed for the deblurring restoration is different. It is shown how the exponential coefficient of the PSF can be calculated if the motion speed and the camera resolution are known, or otherwise how it can be estimated from the image itself. Experimental examples are presented for motion deblurring used to restore images with linear or rotational motion.

Publications Copernicus
Special issue
Download
Short summary
Images of an infrared camera show blurring effects while recording a moving object. Not only the contrast is corrupted by the motion but also the object temperature seems to be lower. It is shown how such images and the true temperature with a good approximation can be restored. Since the detection mechanism of an infrared camera is different from usual digital cameras, also the restoration is different. Examples are presented for motion deblurring used to restore images with different motions.
Images of an infrared camera show blurring effects while recording a moving object. Not only the...
Citation
Share