DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-11 ( Nov, 2016 ) | |||||||||
Paper Title |
Bispectrum Technique to Image Recovery From Water Imaging | |||||||||
Author Name |
A. Sahithi, M. Venkatanarayana, K. Pavan Kumar | |||||||||
Affilition |
M.Tech, ECE, KSRMCE, Kadapa Prof. ECE, KSRMCE, Kadapa Asst.Prof., ECE, KSRMCE, Kadapa | |||||||||
Pages |
44-48 | |||||||||
Abstract |
A new method is proposed for removing geometric distortion in images of submerged objects observed from outside shallow water. The water waves will affect the appearance of the individual video frames such that no single frame is completely free of geometric distortion. This suggests that, in principle, it is possible to perform a selection of a set of low distortion sub-regions from each video frame and combine them to form a single undistorted image of the observed object. Under mild conditions where the wavy surface normal weakly satisfy a Gaussian distribution, it demonstrates that the geometric distortion can be removed and a corrected image can be recovered. The bispectrum concept is utilized to recover undistorted images from videos. Index Terms— Water Imaging, Bispectrum, Bicoherence, Quadrature Phase Coupling (QPC), Gaussian Distribution. | |||||||||
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