An Improved Restoration Method for Non-Uniformly Warped Images Using Optical Flow Technique

A high precision and fast image restoration method is proposed to restore a geometrically corrected image from the atmospheric turbulence degraded video sequence of a static scenery. In this approach, we employ an optical flow technique to register all the frames of the distorted video to a reference frame and determine the flow fields. We use the First Register Then Average And Subtract-variant (FRTAASv) method to correct the geometric distortions using the computed flow fields. We present a performance comparison between our proposed restoration method and earlier Minimum Sum of Squared Differences (MSSD) image registration based FRTAASv method in terms of computational time and accuracy. Simulation experiments show that our proposed method provides higher accuracy with quicker processing time.