基于小波变换和中值滤波的医学图像去噪

简单介绍了离散小波变换、二维小波变换分解与重构和中值滤波的原理,提出了利用小波变换、中值滤波对含有高斯和脉冲两者混合噪声的医学CT图像进行去噪的一种新方法。实验结果表明:这种方法能够有效改善图像质量,较好地保持图像视觉效果,降低图像噪声;此方法的效果优于单纯的小波变换或单纯的中值滤波或先中值滤波再小波变换去噪的方法,是去除CT图像中含高斯和脉冲两者混合噪声的一种比较理想的方法。

Medical Image Denoising Based on Wavelet Transform and Median Filtering

Wavelet transform is a kind math tool developed in recent decade. It has better property than Fourier transform. Wavelet transform is widely used in signal process. This paper introduces the definition of discrete wavelet transforms the principle of two dimensions wavelet transform decomposition and reconstruction then median filtering. It describes a new method for denoising of medical CT images. Mixed Gaussian and Impulse noise can be reduced by using wavelet transform then median filtering. Experimental results show the method can improve the image quality and has good visual results. Its effect is better than pure wavelet transform,pure median filtering and median filtering then wavelet transform denoising. It is an ideal denoising algorithm for CT images including mixed Gaussian and Impulse noise.