When image through water turbulence, captured images will appear severe geometrical distortion. Restoration of image with unknown geometrical distortion is a challenging problem. In this paper, we propose an iterative method to acquire a geometrically corrected high-quality image from an observed video sequence which contains serious geometrical distortion. Firstly, we use a blind deconvolution method to deblur the temporal mean image of the observed video sequence. Next, an image registration based on B-spline is employed to obtain a new video sequence with less geometrical distortion. After several iterative computations of deconvolution and registration, we carry out a robust principal component analysis to remove residual noise of latest video sequence. Finally, a single geometrically corrected image is acquired by a temporal mean operation on final video sequence. Experimental results demonstrate that our proposed method is capable to greatly remove geometrical distortion in video sequence.