Adaptive optics (AO) technique has been extensively used for large ground-based optical telescopes to overcome the effect of atmospheric turbulence. But the correction is often partial. An iterative blind deconvolution (IBD) algorithm based on maximum-likelihood (ML) method is proposed to restore the details of the object image corrected by AO. IBD algorithm and the procedure are briefly introduced and the experiment results are presented. The results show that IBD algorithm is efficient for the restoration of some useful high-frequency of the image.
© 2005 Chinese Optics Letters
Ying Liang, Changhui Rao, Mei Li, and Zexun Geng, "Iterative blind deconvolution of adaptive optics images," Chin. Opt. Lett. 4, 187-188 (2006)