物理学报Issue(1)：1-7,7.DOI:10.7498/aps.64.014202
针对多散斑图的差分压缩鬼成像方案研究∗
Multiple sp eckle patterns differential compressive ghost imaging
摘要
Abstract
Equipment requirement, quality of reconstructed image, and reconstruction time are important factors in the re-alization of thermal-light ghost imaging system. In this paper, we propose a new ghost imaging scheme with multiple speckle patterns, named multiple speckle patterns differential compressive ghost imaging scheme. In this scheme, the high temporal resolution requirements for detectors is reduced by continuously detecting multiple independent speckle patterns. We eliminate the background and other noises in ghost imaging system by using differential ghost imaging method. And the reconstruction time is effectively reduced simultaneously to improve the reconstructed image quality by introducing the compressive sensing techniques. Numerical results show that for the two-level grayscale “N” image, the mean square error, in using the proposed scheme with 8000 measurements, is reduced by 96.9%, and the peak signal to noise ratio has improved by 15.1 dB, in comparison with those using the original multiple speckle patterns ghost imaging scheme with 35000 measurements. For the eight-level grayscale “Pepper” image, the peak signal to noise ratio is enhanced by 11.4 dB. The proposed scheme also can decrease the requirements of detection equipment to improve the image quality, and reduce the reconstruction time. Therefore, it may have a broad application prospect.关键词
鬼成像/压缩感知/差分/散斑图Key words
ghost imaging/compressive sensing/differential/speckle patterns引用本文复制引用
仲亚军,刘娇,梁文强,赵生妹..针对多散斑图的差分压缩鬼成像方案研究∗[J].物理学报,2015,(1):1-7,7.基金项目
国家自然科学基金(批准号:61271238),江苏省高校自然科学研究重大项目(批准号:11KJA510002),中国高等教育博士学科点专项科研基金(批准号:20123223110003),江苏高校优势学科建设工程资助项目和图像处理与图像通信江苏省重点实验室资助的课题.* Project supported by the National Natural Science Foundation of China (Grant No.61271238), the University Natural Science Research Foundation of Jiangsu Province, China (Grant No.11KJA510002), the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No.20123223110003), the Priority Academic Program of Jiangsu Higher Education Institutions, China, and the Jiangsu Key Laboratory of Image Processing and Image Communication, China （批准号:61271238）
