According to shortcoming of Wavelet and Contourlet in the applicatiopn of SAR image denoising, taking advantage of wavelet and contourlet, the proposed method was complemented by wavelet transform in conjunction with directional filter banks. First, the proposed method derived wavelet coefficients of entry image by wavelet transform, then reconstructed the image only by lowpass coefficients and after processing it can derived a highpass subband, afterwards to partition the highpass subband into multi-direction subbands by direction filter banks. Last we adapt Bayesian maximum aposteriori probability(MAP) estimation to estimate these multi-direction subbands. The experimental results show that the proposed method can restrain the speckle noise effectively at the same time it can keep the Radiated characteristics of even region very well, it also can keep edge information effectively and avoid artifacts. Futhermore the highpass subband image of the proposed method contains more texture, it is beneficial to extract edge feature of image.