基于噪声估计的太赫兹图像自适应迭代去噪  

Adaptive Iterative Denoising of Terahertz Image Based on Noise Estimation

作　　者：王月 李琦[1] Wang Yue;Li Qi(National Key Laboratory of Science and Technology on Tunable Laser,Harbin Institute of Technology,Harbin,Heilongjiang 150080,China)

机构地区：[1]哈尔滨工业大学可调谐激光技术国家级重点实验室,黑龙江哈尔滨150080

出　　处：《中国激光》2020年第8期293-302,共10页Chinese Journal of Lasers

基　　金：国家自然科学基金(61377110)。

摘　　要：提出了一种用于太赫兹图像的基于噪声估计的自适应迭代去噪算法。利用噪声水平估计方法获得真实实验图像的噪声标准差,使用基于四叉树的加权双平方非局部均值去噪方法对噪声图像进行去噪以提高重建图像的质量,并对去噪后的图像再次进行噪声估计与去噪,通过反复迭代获得最佳的去噪效果。实验结果表明,所提方法能较好地保留图像的细节,有效地去除由成像系统所引起的背景噪声,其对太赫兹图像具有较好的去噪效果。This paper presents an adaptive iterative denoising algorithm based on noise estimation for terahertz images.First,the noise standard deviation of the real experimental image is obtained by using the noise level estimation method,and then the noise image is denoised by using quadtree based weighted double square non-local mean denoising method to improve the quality of the reconstructed image.Finally,the noise estimation and denoising of the denoised image are carried out again,and the best denoising effect is obtained through repeated iterations.Experimental results show that the method can retain the details of the image,effectively removes the background noise caused by the imaging system,and has a good denoising effect on terahertz image.

关 键 词：图像处理 太赫兹图像 图像去噪 四叉树 非局部均值 噪声估计 

分 类 号：TN20[电子电信—物理电子学]