Effects of image restoration on automatic acquisition of moving objects in thermal video sequences degraded by the atmosphere


By: Oren Haik and Yitzhak Yitzhaky

Ben Gurion University, Department of Electro-Optics




This work aims to determine the effect of image restoration (de-blurring) on the ability to acquire moving objects detected automatically from long-distance thermal video signals. This is done by first, restoring the videos using a blind-deconvolution method developed recently, and then examining its effect on the geometrical features of automatically detected moving objects. Results show that for modern (low-noise and high-resolution) thermal imaging devices the geometrical features obtained from the restored videos, better resemble the true properties of the objects. These results correspond to a previous study which demonstrated that image restoration can significantly improve the ability of human observers to acquire moving objects from long-range thermal videos.



The following table links to short video sequences comparing performances of target detection and tracking with and without image restoration*


Moving Targets

(At about 3km distance)

Recorded vs. Restored

Motion Detection

(in Recorded vs. Restored)

Target Detection & tracking

(in Recorded vs. Restored)

Bicycle rider

Fig. 3 (a), (b)

Fig. 5 (a), (b)

Fig. 6 (a), (b)

Person with a pole

Fig. 3 (c), (d)

Fig. 5 (c), (d)

Fig. 6 (c), (d)

Walking man + Dog

Fig. 3 (e), (f)

Fig. 5 (e), (f)

Fig. 6 (e), (f)

Man on a roof

Fig. 3 (g), (h)

Fig. 5 (g), (h)

Fig. 6 (g), (h)



                    Frequently the videos should be downloaded first before they can be run.

                    In order to run the compressed videos, the Indeo 5.x Video Codec should be installed in the computer.

         This codec is available in the site:



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