Because of atmospheric turbulence

the performance of high resolution imaging of large optical instruments is severely limited. Speckle imaging is one of ways to eliminate atmospheric blur based on recording series of images with short exposure to freeze the turbulence to obtain restoration image for reconstruction. By incorporating dynamic shrinkage of support region

a modified maximum likelihood blind deconvolution algorithm is proposed in this paper. The algorithm is applied to the restorations of short-exposure images of astronomical point source star

images of astronomical extended object and adaptive optics long exposure images of point source star. Experimental results prove that this algorithm works well not only for short exposure images of point source star

but also for images of astronomical extended object and adaptive optics long exposure images. The PSNR of reconstruction images is raised by over 10 percent. The novelty of this algorithm is that the support region of astronomical object can be contracted adaptively according to the threshold in reconstruction iterations.