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Aiming at the degradation image of underwater distortion caused by turbulence, an algorithm based on the pixel shift correction of distorted frames is proposed based on the estimation of the aberration frame relative to the reference frame. Through the custom metric standard, we select the reference frame and a higher definition of the input frame sequence, and use the pixel registration, two-dimensional registration and kernel correlation filtering algorithm to restore and reconstruct the distorted image. In order to verify the algorithm, we carried out indoor underwater turbulence simulation system experiments and ocean field experiments respectively, and compared the experimental results with the blind restoration algorithm and the convex set projection super-resolution reconstruction algorithm. From the subjective evaluation, the image distortion is effectively suppressed. From the objective evaluation standard, the index is higher than the traditional restoration and reconstruction algorithm. Experimental results show that the algorithm effectively improves the dedistortion effect of underwater turbulence degraded image, and provides a guarantee for the accurate operation of marine target detection.