研究提出一种被动式太赫兹扫描成像的目标检测方法。用0.22 THz被动式扫描成像系统采集原始图像，在滤波去噪后用针孔像分析法获得太赫兹扫描成像系统的点扩展函数，进而用Lucy-Richardson算法重构图像，通过灰度变换和边缘检测增强图像对比度和目标分辨力。实验结果表明，算法能有效改善被动式太赫兹图像质量，提高成像系统探测隐藏可疑物的能力。

A target detection method for passive terahertz images is put forward. Original 0.22 THz images are captured using pre-developed passive scan imaging system. The original images are de-noised by spatial filtering. Then the point spread function of the imaging system is measured through pinhole images analysis, and is applied to reconstruct the images with the Lucy-Richardson iterative algorithm. Finally, gray level transform and edge detection are adopted to improve the images′ contrast and resolution capability. Experimental results show that the proposed method is able to effectively improve passive terahertz images′ quality and enhance the imaging system′s ability of detecting hidden suspicious objects.