Unsymmetrical multi-limit iterative blind deconvolution algorithm for adaptive optics image restoration

A novel multi-limit unsymmetrical iterative blind deconvolution(MLIBD) algorithm was presented to enhance the performance of adaptive optics image restoration. The algorithm enhances the reliability of iterative blind deconvolution by introducing the bandwidth limit into the frequency domain of point spread function(PSF), and adopts the PSF dynamic support region estimation to improve the convergence speed. The unsymmetrical factor is automatically computed to advance its adaptivity. Image deconvolution comparing experiments between Richardson-Lucy IBD and MLIBD were done, and the result indicates that the iteration number is reduced by 22.4% and the peak signal-to-noise ratio is improved by 10.18 dB with MLIBD method. The performance of MLIBD algorithm is outstanding in the images restoration the FK5-857 adaptive optics and the double-star adaptive optics.