Synthetic imaging through wavy water surface with centroid evolution

Imaging through wavy water surface is a challenging task, as the wavy water surface introduces random anisoplanatic distortions and aberrations. All the previous image-sequence-based recovery methods require all image data acquired to start processing. A new progressive restoration scheme for imaging through wavy water surface is demonstrated, it can mitigate both distortion and blurriness and run simultaneously with image acquisition. This method extends the anisotropic evolution in lucky region fusion with a novel progressive optical flow based warping process, centroid evolution. Comparison is made with other state-of-art techniques, the proposed method can create comparable results with much less frames input. Also experiments with real through-water scenes have proved the effectiveness of the method.