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Restoration of Atmospheric Turbulence Degraded Video

Dalong Li

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ISBN 10: 3836460890 / ISBN 13: 9783836460897
Published by VDM Verlag
New Condition: New Soft cover
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116 pages. Dimensions: 9.4in. x 6.7in. x 0.3in.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 explicitly addressed the geometric distortion that is ignored in many previous works and it can handle real motion cases when the previous methods that do address this geometric distortion fail. The research advanced the study of restoration turbulence degraded video. The work is of considerable interest to atmospheric scientists, earth-based astronomers, and also for long-range surveillance. In astronomy and surveillance, this technique could help to overcome some of the degrading effects of turbulence. The research work in this topic has advantages over others currently used and proposed because it does not require the addition of expensive optical equipment and does not require reference objects. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783836460897

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Bibliographic Details

Title: Restoration of Atmospheric Turbulence ...

Publisher: VDM Verlag

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

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 explicitly addressed the geometric distortion that is ignored in many previous works and it can handle real motion cases when the previous methods that do address this geometric distortion fail. The research advanced the study of restoration turbulence degraded video. The work is of considerable interest to atmospheric scientists, earth-based astronomers, and also for long-range surveillance. In astronomy and surveillance, this technique could help to overcome some of the degrading effects of turbulence. The research work in this topic has advantages over others currently used and proposed because it does not require the addition of expensive optical equipment and does not require reference objects.

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 interests include image processing, computer vision and machine learning.

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