Atmospheric turbulence is a common problem in astronomy and long distance surveillance applications. It can lead to optical distortions that can significantly degrade the quality of the captured images and video. Quality improvement can be achieved through digital restoration methods that effectively suppress the effects of optical distortion. In this paper, atmospheric optical distortion is modeled as having two components: a dispersive component and a time-varying distortion component. A new restoration algorithm is introduced that compensates for dispersion using a fourth-order statistic and employs a new adaptive warping algorithm to suppress turbulent motion effects. The new algorithm is able to improve quality significantly and is able to handle diffcult cases involving panning, zooming, and natural motion.
KEYWORDS: Detection and tracking algorithms, Automatic tracking, Target recognition, System identification, Process control, Image processing, Missiles, Lithium, Astatine, Computing systems
It is a key technology to search or locate targets in target identification and tracking systems. The searching algorithm must make sure that the interesting target be captured. At present, in most target tracking systems, a template is specified at first then the target is locate by template matching, or the target is located manually. With the development of the system, it is very necessary to realize the automatic capture, identification and tracking of the target.
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