基于联合代数迭代的非视域激光图像重建方法  

Laser Image Reconstruction Method of Non-line-of-sight Objects Based on Simultaneous Algebraic Reconstruction Technique

作　　者：王雪峰 陈兴稣 王元庆[2] Wang Xuefeng;Chen Xingsu;Wang Yuanqing(School of Network Security and Information Technology,Yili Normal University,Yining,Xinjiang 835000,China;School of Electronic Science arid Engineering,Nanjing University,Nanjingt Jiangsu 210046,China)

机构地区：[1]伊犁师范大学网络安全与信息技术学院,新疆伊宁835000 [2]南京大学电子科学与工程学院,江苏南京210046

出　　处：《应用激光》2022年第3期135-140,共6页Applied Laser

基　　金：新疆维吾尔自治区高校科研计划项目(XJEDU2017S047)。

摘　　要：非视域成像技术采用非传统光学技术,利用间接成像的方法对无法直接观测的隐藏物体进行探测。针对目前试验系统复杂且需要场景扫描,导致数据采集过程复杂且需要大量时间的问题,提出基于阵列式APD的透射式非视域成像试验设置,试验设置操作简单且不需要场景扫描,实现快速数据采集。针对非视域成像技术一般只能获取不完全(缺失)角度的数据,使用反投影算法不能得到理想的重建结果的问题,提出利用联合代数迭代(SART)重建算法对非视域成像物体进行三维重建。试验结果表明:SART算法能够在部分角度数据下,更好地去除反投影算法中的伪影和噪点;在最初的第2和第3次迭代后,通过计算,其峰值信噪比PSNR值提高了1.392 8、2.466 3,其结构相似度SSIM值提高了0.119 8、0.231 2,表明该方法能有效提高非视域物体的图像重建精度。Non-line-of-sight imaging technology is a new technique to detect hidden objects, which cannot be observed directly. The 3 D reconstruction algorithm in non-line-of-sight imaging is mainly the back projection method. Because the back projection algorithm needs to cover the data in the Angle range of 180° to obtain a good reconstruction result, while non-line-of-sight imaging technology can only obtain partial(sparse) angle data, the back projection algorithm cannot obtain an ideal reconstruction result. To solve the sparse data problem, the system adopts the APD array to acquire data quickly, and the simultaneous algebraic reconstruction technique(SART) is proposed to reconstruct 3 D image of non-line-of-sight objects. Experimental results show that the proposed approach can remove the artifacts and noise better than in the back projection algorithm on spare angle data. By calculating the peak signal-to-noise ratio(PSNR) and structural similarity SSIM, in the second and third iterations, 1.3928, 2.4663 and 0.1198, 0.2312 are improved respectively, it is shown that this method can effectively improve the image reconstruction accuracy of non-line-of-sight objects.

关 键 词：非视域成像 联合代数迭代重建算法 缺失数据 三维图像重建 

分 类 号：TP249[自动化与计算机技术—检测技术与自动化装置]