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.
© 2007 Optical Society of America
Original Manuscript: July 25, 2007
Revised Manuscript: November 1, 2007
Manuscript Accepted: November 6, 2007
Published: December 13, 2007
Oren Haik and Yitzhak Yitzhaky, "Effects of image restoration on automatic acquisition of moving objects in thermal video sequences degraded by the atmosphere," Appl. Opt. 46, 8562-8572 (2007)