太赫兹科学与电子信息学报2016，Vol.14Issue(4)：497-501,507,6.DOI:10.11805/TKYDA201604.0497
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
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.关键词
中值滤波/自适应流形/太赫兹图像/图像去噪Key words
median filter/adaptive manifolds/terahertz image/image denoising分类
信息技术与安全科学引用本文复制引用
朱书进,李跃华..基于自适应流形高维滤波的太赫兹图像滤波算法[J].太赫兹科学与电子信息学报,2016,14(4):497-501,507,6.基金项目
南京理工大学研究生创新计划资助项目(KYLX15_0374) （KYLX15_0374）
