Improved denoising method of SAR image

The reduction of speckle in SAR image is necessary for processing of SAR image such as feature detection and extraction. In Contourlet transform, a drawback of Laplacian pyramid (LP) is implicit oversampling and non-orthogonal decomposition, Wavelet transform is a critically sampled scheme but it only generated three direction. Taking advantage of Wavelet and Contourlet, the proposed method is complemented by Wavelet transform in conjunction with directional filter banks. First, the proposed method derived Wavelet coefficients of entry image by Wavelet transform, then reconstruction the image only by lowpass coefficients and after processing it can derive a highpass subbands. The proposed method keeps critical sampling and it is convenient for direction filter banks partitioning the highpass subbands. The results show that the proposed method can eliminate the noise, keep edge information effectively and also avoid artifacts over Wavelet and Contourlet transform.