Combining compressed sensing of sparse tracked trajectories with polynomial-expansion optical flow restores wavy-water-distorted video more accurately and much faster than earlier state-of-the-art methods.
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Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations
Combining compressed sensing of sparse tracked trajectories with polynomial-expansion optical flow restores wavy-water-distorted video more accurately and much faster than earlier state-of-the-art methods.