基于邻域的小波系数阈值医学图像去噪研究

Studying on Wavelet Coefficient Thresholding Based on Neighboring for Medical Image Denoising

为有效去除图像噪声并保护图像的细节信息,本文提出了一种基于邻域的小波系数阈值去噪方法,结合图像的邻域信息,通过比较窗口中邻域小波系数对噪声图像进行阈值处理达到有效降噪的目的。实验对比结果表明了该方法的有效性。

To reduce noise and protect detail information in image efficiently, a method of wavelet coefficient thresholding based on neighboring is proposed in this paper. Image denoising is processed by incorporating the neighboring information of image, and comparing neighboring wavelet coefficient. The experiment results show that the method is valid.