中国激光, 2018, 45 (10): 1014001, 网络出版: 2018-10-12
压缩感知三维重建算法控制参数对太赫兹数字全息再现的影响 下载: 832次
Influences of Compressive Sensing 3D Reconstruction Algorithm Control Parameters on Terahertz Digital Holography Reconstruction
成像系统 太赫兹三维成像技术 控制参数 高斯噪声 压缩感知 客观评价 imaging systems terahertz 3D imaging technology control parameter Gaussian noise compressive sensing objective evaluation
摘要
太赫兹三维成像技术是太赫兹成像技术的重要研究方向, 因为基于样本的三维图像可以获取比二维图像更丰富的分布信息。影响压缩感知方法三维重建结果精度的算法控制参数主要有迭代次数和稀疏限制参数。利用主观及客观评价法, 首先分析了理想情况下迭代次数和稀疏限制参数对再现结果的影响。考虑到实际目标板的不均匀等现象会引入噪声, 因此研究了存在高斯噪声时再现算法控制参数对再现结果的影响。结果表明:当迭代次数均为200次, 理想情况和高斯噪声方差分别为0.0005和0.001时, 稀疏限制参数分别为0.02、0.1、0.1。
Abstract
Terahertz three-dimensional (3D) imaging is an important research direction for terahertz (THz) imaging technology, because 3D images of a sample can provide richer distribution information than 2D images. The main algorithm-control parameters that affect the accuracy of compressed 3D reconstructions are the number of iteration and the sparse restriction parameter. In this paper, we use subjective and objective evaluations to analyze the influences of these parameters on the reconstruction results for an ideal situation. Considering that noise is generated because the actual target plate is inhomogeneous, we mainly study the influences of the control parameters in reconstruction algorithms containing different levels of Gaussian noise on reconstructed results. The results show that when the number of iteration is 200, sparse restriction parameter is 0.02, 0.1 and 0.1 for the ideal case and Gaussian noise variance of 0.0005 and 0.001, respectively.
袁静, 李琦, 巩文盼. 压缩感知三维重建算法控制参数对太赫兹数字全息再现的影响[J]. 中国激光, 2018, 45(10): 1014001. Yuan Jing, Li Qi, Gong Wenpan. Influences of Compressive Sensing 3D Reconstruction Algorithm Control Parameters on Terahertz Digital Holography Reconstruction[J]. Chinese Journal of Lasers, 2018, 45(10): 1014001.