Wavefront reconstruction for image restoration based on generalized ridge estimation

In order to enhance the performance of adaptive optics image restoration, a novel wavefront reconstruction algorithm based on generalized ridge estimation was proposed. In the view of adaptive optics image post-processed restoration, not real time and fast computation but the high-precision was the basic request of wavefront reconstruction. On the consideration of sacrifice time for precision, it brought the idea of generalized ridge estimation (GRE) into wavefront-reconstruction algorithm, to improve the singularity of least square (LS) and restrain the enlarger of wavefront measure-error. Then, the iterative solution method was brought into wavefront-reconstruction for improving the solution of singular equation and the precision of reconstructed-point spread function (PSF). Finally, the blurred-image restoration experiment was implemented to verify the precision of reconstructed-PSF. The experiment proves that the novel algorithm which restores PSF performes well in image restoration, and the image restoration effect of GRE-Reconstructed-PSF was 15% better than those of LS-Reconstructed-PSF.