红外与毫米波学报2023，Vol.42Issue(1)：61-71,11.DOI:10.11972/j.issn.1001-9014.2023.01.009
多块合并压缩感知实时成像
Multiblock compressed sensing imaging in real time
摘要
Abstract
Imaging sensors in medium and long-wave infrared spectrum are extremely expensive. Therefore, formost consumers, remote high-resolution imaging and real-time display in these spectrums are still a challenge. This paper proposes an effective block compressed sensing method called Multi-block Combined Compressed Sensing (MBCS) adapting to Focal Plane Array Compressed Imaging system (FPA CI), which combines parallel sampling and fast reconstruction. The high-resolution images can be reconstructed from low-resolution measure?ment results in real-time using a low-resolution infrared sensor. The results showed that, compared with the tradi?tional CS-based super-resolution method, this method could greatly improve the quality of the reconstructed high-resolution image and achieve a higher reconstruction speed. The optical prototype architecture and construction of the MBCS measurement matrix for the reconstruction model are also discussed. This study evaluated the recon?struction performance in terms of the block size and found that the optimal block size needed to consider both speed and reconstruction quality. Furthermore, the MBCS reconstruction algorithm with GPU acceleration was implemented to improve the image reconstruction speed of the highly parallel image system. In the experiment, the optical system and the strategy of rapid imaging and reconstruction were verified via simulation and optical ex?periments, which showed that the imaging speed of 512×512 resolution could reach 5 Hz.关键词
压缩成像/分块压缩感知/中红外/焦平面阵列/图像处理单元Key words
compressive imaging/blocked compressed sensing/medium infrared/focal plane array/GPU分类
信息技术与安全科学引用本文复制引用
李虎,刘雪峰,姚旭日,刘璠,窦申成,胡钛,翟光杰..多块合并压缩感知实时成像[J].红外与毫米波学报,2023,42(1):61-71,11.基金项目
Supported by National Key Research and Development Program of China(2018YFB0504302) （2018YFB0504302）
and the Youth Innovation Promotion Asso-ciation of the Chinese Academy of Sciences(2019154). （2019154）
