Geometric correction of atmospheric turbulence-degraded video containing moving objects
نویسندگان
چکیده
منابع مشابه
Classification of moving objects in atmospherically degraded video
Classification of moving objects in imaging through long-distance atmospheric path may be affected by distortions such as blur and spatiotemporal movements caused by air turbulence. This work aims to study and quantify the effects of these distortions on the ability to classify moving objects in atmospherically degraded video signals. For this purpose, we perform simulations and examine real lo...
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To my mom, Mei, my wife, Nan and in memory of my grandma, Yanqing for all of your love iii ACKNOWLEDGEMENTS I would like to thank Prof. Stanley Reeves of Auburn university who provided help with the implementation of Generalized Cross Validation (GCV). There are many helpful feedbacks from the readers of our papers. For example, Lalaké Apoyan pointed out the scintillation effects of turbulence....
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We present a method to enhance the quality of a video sequence captured through a turbulent atmospheric medium. Enhancement is framed as the inference of the radiance of the distant scene, represented as a “latent image,” that is assumed to be constant throughout the video. Temporal distortion is thus zero-mean and temporal averaging produces a blurred version of the scene’s radiance, that is p...
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ژورنال
عنوان ژورنال: Optics Express
سال: 2015
ISSN: 1094-4087
DOI: 10.1364/oe.23.005091