title: Effects of image restoration on automatic acquisition of moving objects in thermal video sequences degraded by the atmosphere.
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.
authors: Department of Electro-Optics Engineering, Ben-Gurion University, P.O. Box 653, Beer-Sheva 84105, Israel.
authors: Oren
authors: O
authors: Haik
authors: Yitzhak
authors: Y
authors: Yitzhaky
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D001272:Atmosphere; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009038:Motion; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013817:Thermography / Q000379:methods*; D014741:Video Recording / Q000379:methods*