Small Celestial Body Image Restoration Based on Spectrum Characteristics

To remove the blur of the image from optical navigation camera, a image restorationmethod based on spectrum characteristics is proposed. In this method, image denoising pretreatment is first implemented by the NSCT filter. Then, to obtain the minimum amplitude distance, the paper optimizes the image spectrum characteristic by using the simulated annealing algorithm. And then the minimum amplitude distance can be obtained. There the point spread function is established. Finally, blurred image is recovered by the Lucy - Richardson algorithm. The recovery quality is evaluated by the Laplace gradient and the average gray level gradient. The simulation results demonstrate that the proposed method in the paper improves the quality of the restored small celestial body image, and the visual effect is also very ideal.