Considering the shortcomings of Wavelet and Contourlet when applied to image denoising,we proposed a new method based on Shearlet transform and Bayesian MAP estimation.Firstly,the source images were decomposed into several subbands using Shearlet．Then,Bayesian MAP estimation was adopted to estimate these multi-direction subbands.Finally,the denoised image was obtained by performing the inverse Shearlet transform on the coefficients.The experimental results show that:Compared with other denoising method,this method can contains more details,and get better visual effects.