According to the Bayes and Parseval theorem, myopic deconvolution algorithm for multiframe turbulence degraded images in frequency domain is presented. Atmosphere turbulence long exposure optical transfer function is used as the estimated optical transfer function. According to characteristics of the cost function in frequency domain, partial Newton algorithm is introduced. This algorithm can handle unregistration of multiframe images and obtain ideal recovered image. The restored result of the computer simulation multiframe turbulence degraded images shows that it has good restoration effect at different turbulence intensities and signal noises, even though the images are unregistration.