Application of Image Restoration Based on Robust Estimation in Drowning Warning System

For the underwater image of swimming pool, its S/N is low and the edges are fuzzy. If use traditional image restoration method to dispose it directly, the result is not expected, existing weaknesses such as enlarged edge, denoise incompletely and so on. According to the high stabilization of robust estimation to noise, we combined robust estimation technique with image restoration method together, and proposed an adaptive robust image smoothing algorithm. This method set up an image model based on robust M-estimator, and saw the image restoration as a problem of position estimation. Experiments with underwater images of swimming pool proved that the proposed approach can preserve the structure information in the original image while smoothing it simultaneously.