经典去噪算法在两种含噪头部图像中的对比研究

A Comparative Study of Classical Denoising Algorithms in Two Noised Head Images

摘要: 本文围绕四种经典的去噪算法：引导滤波去噪算法、小波变换去噪算法、双边滤波去噪算法和联合双边滤波去噪算法，利用Shepp-Logan头模型和头部CT影像进行仿真去噪实验，结果表明针对头模型的联合双边滤波去噪算法的保边滤噪效果相对于其他3种算法较好；针对头部CT的双边滤波去噪结果更优。

Abstract: This article revolves around four classic denoising algorithms: guided image filtering, wavelet transform, bilateral filter and joint bilateral filter. The Shepp-Logan head model and head CT image are used to simulate denoising experiments, the results show that the joint bilateral filter for the head model has a better edge filtering effect than the other three algorithms; bilateral filtering de-noising results for head CT are better.