Description: 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 im- age 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 com- putations and solves the “leakage” problem inherent in recent manifold embedding techniques.
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Author:asdf12341234 |
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Description: Recently, digital multimedia has become widely distributed in computer and network technology. For digital
multimedia distribution applications, issues surrounding information security have received significant attention. Data hiding has been one of most researched issues in information security. In this paper, reversible video data hiding based on neighborhood similarity is proposed. Prediction encoding was used to compute the prediction errors. All prediction errors were explored to develop a histogram-based reversible video data hiding algorithm. The results show that the proposed
approach has a higher capacity and similar embedding distortion compared with other related schemes. Also, the original
video frame could be recovered after the hidden information was extracted. Platform: |
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Author:chandu |
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