Carnegie Mellon University
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Seeing Through Water

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journal contribution
posted on 2004-01-01, 00:00 authored by Alexei Efros, Volcan Isler, Jianbo Shi, Mirko Visontai
We consider the problem of recovering an underwater image distorted by surface waves. A large amount of video data of the distorted image is acquired. The problem is posed in terms of finding an undistorted image patch at each spatial location. This challenging reconstruction task can be formulated as a manifold learning problem, such that the center of the manifold is the image of the undistorted patch. To compute the center, we present a new technique to estimate global distances on the manifold. Our technique achieves robustness through convex flow computations and solves the “leakage” problem inherent in recent manifold embedding techniques.




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