A Contourlet Domain Image Denoising Method Based on Mathematical Morphology
基于数学形态学的Contourlet变换域图像降噪方法

A Contourlet domain image denoising method is proposed based on mathematical morphology. By using Contourlet Transform, the noised image is decomposed into a low frequency subband and a set of multisacle and multidirectional high frequency subbands. The high frequency coefficients of the original image are processed by mathematical morphological operator. The noise which have small or no at all support area are removed, and the small features which have large or consecutive support area are preserved. The denoising image will be gotten by performing the inverse Contourlet Transform to these estimated coefficients. Experimental results show that the denoising effect of this proposed method is better than that of other methods based on Contourlet transform.