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Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation: A Blind Deconvolution and Optical Flow Approach

Dalong Li




[PDF.yb24] Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation: A Blind Deconvolution and Optical Flow Approach

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 |  2008-02-22 | Original language:English | PDF # 1 |  9.44 x.27 x6.69l,.43 | File type: PDF | 116 pages

||About the Author|Dr. Dalong Li was born in Luoyang, China. He received his M. S. from the Institute of Automation, Chinese Academy of Science in 2001 and his Ph. D. degree in Electrical Engineering from the Georgia Institute of Technology in 2007. His research i

The goal of the work is to compensate for the blurring and geometric distortions caused by atmospheric turbulence and to produce a clear restoration of the scene. Since the blurring is unknown, a blind image deconvolution technique was developed based on a higher order statistic. Geometric distortion is handled through motion trajectory smoothing built upon optical flows. The technique significantly improved the quality of atmospheric turbulence degraded video. It expli...

You easily download any file type for your gadget.Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation: A Blind Deconvolution and Optical Flow Approach   |  Dalong Li. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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