基于自适应流形高维滤波的太赫兹图像滤波算法

A terahertz image denoising algorithm based on adaptive manifolds and high-dimensional filtering

摘要:

针对太赫兹图像分辨率差，噪声严重和信噪比低等不足，提出了一种基于自适应流形高维滤波的太赫兹图像降噪算法。算法利用中值滤波滤除太赫兹图像的强噪声点，再利用自适应流形高维滤波去除图像中的大部分噪声，最后通过基于拉普拉斯高斯算子的边缘增强对二次滤波后的结果图像进行图像增强。实验结果表明，该算法对于太赫兹图像有良好的降噪效果，在滤除图像中噪声的同时，图像的边缘和细节部分也得到了较好的保留。

Abstract:

To improve the poor resolution and low signal-noise ratio of terahertz image, by using the adaptive manifolds and high-dimensional filtering, a terahertz image denoising algorithm is proposed. The median filter is firstly used to remove the serious noise in the terahertz image. Then the filtered image is processed by the adaptive manifolds for high-dimensional filtering where the most of remained noise is removed in this step. Finally the Laplace of Gaussian based edge enhancement method is performed to enhance the output image. The experimental results show that the proposed method performs well in removing the noise with edge and details preserving.