Effects of image restoration on automatic acquisition of moving objects in thermal video sequences degraded by the atmosphere.
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.
Haik
Oren
O
Department of Electro-Optics Engineering, Ben-Gurion University, P.O. Box 653, Beer-Sheva 84105, Israel.
Yitzhaky
Yitzhak
Y
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*