Image denoising method based on bidimensional empirical mode decomposition and mean filtering
基于二维经验模态和均值滤波的图像去噪方法

A new image-denoising method was proposed. Noised image was decomposed to a series of sub-band images by Bimensional Empirical Mode Decomposition (BEMD). High frequency sub-band images were denoised by mean filtering using different filter templates, and low frequency approximation image remained unchanged in this process. Then the denoised-image was obtained by composing the low frequency approximation images and the high frequency detailed images with mean filtering. Experimental result shows that the noise is effectively removed and the detail of the image is well preserved. This method has better denoising effect than single BEMD method and mean filtering method and the method combining wavelet transform with mean filtering.