基于二维经验模式分解的图像去噪

Image Denoising Based on the Bidimensional Empirical Mode Decomposition

通过二维经验模式分解(BEMD),可将被噪声污染的图像分解为一系列细节信息和趋势信息。由图像的趋势信息重建图像,可达到去除图像噪声的目的。实验结果表明该方法对去除高斯白噪声、乘性噪声具有较好的效果,峰值信噪比(PSNR)得到明显提高。

By the bidimensional empirical mode decomposition(BEMD) method, an image with noise is decomposed into a series of detail information and the final trend information. The noise can be removed by the image reconstruction with the trend information. Experimental results demonstrate that this method has notable performance to get rid of the gaussian noise and multiplicative noise and increase the PSNR.