An Improved BEMD Method for SAR Image Noise Suppression

For boundary pollution problems occurring during the process of SAR image noisesuppression by bidimensional empirical mode decomposition(BEMD),an improved BEMDmethod of image denoising is proposed.In this method,the noisy SAR image is decomposedinto detail parts and contour parts using BEMD.First,the extreme points are triangulated,and interpolation boundaries equivalents are extended.Then,the surfaces of the IMF com-ponents after interpolation are decomposed,and the IMF components with noise after the de-composition are processed by wavelet filtering.Finally,images are reconstructed.Experi-mental results show that this method effecive for suppressing speckle noise,as compared tothe bidimensional empirical mode decomposition,and has sufficiently advantages when retai-ning edges and detail information while suppressing noise.