基于各向异性扩散和小波变换的磁共振图像降噪和增强方法

降噪是医学图像处理中一个非常重要的问题,传统去噪方法在降低噪声的同时会模糊图像的边缘,各向异性扩散滤波在降低图像噪声的同时能够使图像的边缘得到保持.利用小波变换可以对图像进行多尺度分解,使我们可以在不同尺度上对图像进行处理.本文利用各向异性扩散滤波对MRI图像进行降噪,然后利用平稳小波变换对图像进行增强处理.实验结果表明,该方法在有效去除噪声的同时能够增强图像的细节,有效地提高了图像的质量.

Magnetic resonance imaging denoising and enhancement based on anisotropic diffusion and wavelet transform

Image denoising is an important issue in medical image processing. The classical denoising approach has the tradeoff between denoising and preserve the edge of the image. The anisotropic diffusion noise filtering can not only remove the noise of the image but also preserve the edge of the image. The wavelet transform can perform multiscale decomposing for the images, therefore the images can be processed in different scale. In this report, we perform image denoising based on the anisotropic diffusion filtering , then enhancing the image in the wavelet domain. The experimental results indicate that the method can removal noise and enhance the image efficiently.