A compact multiframe myopic deconvolution algorithm in the frequency domain is described that utilizes multiframe short exposure images and the corresponding turbulent atmosphere phases from wave front sensing.Firstly

the algorithm employs the estimated point spread functions (PSFs) based on the turbulent atmosphere phases to adjust to be better correct forms gradually.The cost function that uses Fourier spectral ratio to reducing the number of unknown variables is minimized alternately to restore the object image and estimate PSFs by conjugate gradient algorithm.To diminish noise amplification in the frequency domain and avoid the reconstructed image turning to be a local minimum

the structure-adaptive applicability filter (SAAF) and multiple basis constraints are used.Computer simulations are conducted to investigate the performance of the proposed method offer the possibility of improved object reconstructions over multiframe Tikhonov regulation deconvolution and multiframe Richardson-Lucy deconvolution.