Underwater image restoration algorithm from distorted video

With the aim to recover the planar underwater scenes from a video sequence severely distorted by water waves, a reconstruction framework which integrated robust registration with lucky image approaches was proposed. At first, an iterative robust registration algorithm was used to eliminate most geometric deformations and recover the water surface. Then the best image patches selected from the corrected video frames were stitched together. With the experimental results, it is found that, in terms of restoration accuracy, visual effects and computational efficiency, the suggested algorithm always significantly outperforms better than the method employing robust registration and sparse noise elimination, leading to state-of-the-art performance on the task of underwater image restoration from video sequences.