A wavelet based on iteration regularized image restoration algorithm is presented. Consideration is given to both the noise suppression and edge preservation. The selection of regularizing operator and regularization parameter is dependent on the frequence and direction feature of each subband.The experiment results show that the proposed algorithm is superior to the general spatial domain algorithm in the quality of the reconstructed image and iterative convergence speed.