物理学报Issue(22)：1-7,7.DOI:10.7498/aps.63.224201
基于压缩感知超分辨鬼成像
Sup er-resolution ghost imaging via compressed sensing
摘要
Abstract
Achieving high resolution images is of great importance in ghost imaging. We present a super-resolution image reconstruction algorithm with sparse measurements based on the theory of compressed sensing and the prior knowledge of the point spread function of the ghost imaging system. A computational ghost imaging experimental setup with a digital mirror device is built to verify the effect of this algorithm on increasing the resolution of the ghost imaging system. In addition, we compare the result with that from the traditional ghost imaging algorithm. The experiments show that we can obtain super-resolution images by this algorithm with the sparse measurements. This approach can break through the Rayleigh limit of the imaging system and obtain super-resolution images.关键词
鬼成像/压缩感知/超分辨/稀疏测量Key words
ghost imaging/compressed sensing/super resolution/sparse measurement引用本文复制引用
李龙珍,姚旭日,刘雪峰,俞文凯,翟光杰..基于压缩感知超分辨鬼成像[J].物理学报,2014,(22):1-7,7.基金项目
国家重大科学仪器设备开发专项(批准号:2013YQ030595)和国家高技术研究发展计划(批准号:2013AA122902)资助的课题.* Project supported by the National Major Scientific Instruments Development Project of China (Grant No.2013YQ030595) and the Hi-Tech Research and Development Program of China (Grant No.2013AA122902) （批准号:2013YQ030595）
