Narrow Results

In this paper a novel restoration algorithm based on iterative loops and data mining is proposed to restore the original object image from a few frames of aero-optics degraded images through the turbulence medium. Based on the iterative loops, the iterative mathematic models to estimate the random turbulent optical point spread functions and object image are built. A series of restoration experiments for both simulated and real aero-optics degraded images were performed to examine the proposed algorithm under a computerized simulation environment, which show that the proposed algorithm outperform previous algorithms and therefore is effective for practical applications.