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Effects of image restoration on automatic acquisition of moving objects in thermal video sequences degraded by the
1Department of Electro-Optics Engineering, Ben-Gurion University, P.O. Box 653, Beer-Sheva 84105, Israel.
Abstract:
We aim to determine the effect of image restoration (deblurring) 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.