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针对多散斑图的差分压缩鬼成像方案研究
引用本文: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,2015,64(1):14202-014202.
作者姓名:仲亚军  刘娇  梁文强  赵生妹
作者单位:南京邮电大学信号处理与传输研究院, 南京 210003
基金项目:国家自然科学基金,江苏省高校自然科学研究重大项目,中国高等教育博士学科点专项科研基金,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,the University Natural Science Research Foundation of Jiangsu Province;China,the Specialized Research Fund for the Doctoral Program of Higher Education of China,the Priority Academic Program of Jiangsu Higher Education Institutions
摘    要:鬼成像方案实现所需设备、成像的质量以及成像所花的时间是决定鬼成像技术可实用化的重要因素. 本文提出一种针对多散斑图的差分压缩鬼成像方案. 该方案通过连续探测多个独立的散斑图, 降低了热光鬼成像方案对探测器高时间分辨力的要求; 通过采用差分方法, 抑制了背景噪声和其他噪声源的干扰; 通过使用压缩感知重建算法, 有效地降低了鬼成像所需时间并同时提升成像的质量. 数值仿真结果表明, 对于二灰度“N” 图, 本方案在8000次的采样情形下与多散斑图鬼成像方案35000次采样的结果相比, 均方误差降低了96.9%、峰值信噪比提升15.1 dB. 对于八灰度“Pepper”图, 本方案与多散斑图鬼成像方案相比, PSNR提升11.4 dB. 本方案可降低探测设备的要求、提高成像质量、降低重建时间, 具有广阔的应用前景.

关 键 词:鬼成像  压缩感知  差分  散斑图
收稿时间:2014-06-16

Multiple sp eckle patterns differential compressive ghost imaging
Zhong Ya-Jun,Liu Jiao,Liang Wen-Qiang,Zhao Sheng-Mei.Multiple sp eckle patterns differential compressive ghost imaging[J].Acta Physica Sinica,2015,64(1):14202-014202.
Authors:Zhong Ya-Jun  Liu Jiao  Liang Wen-Qiang  Zhao Sheng-Mei
Institution:Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract:Equipment requirement, quality of reconstructed image, and reconstruction time are important factors in the realization 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.
Keywords:ghost imaging  compressive sensing  differential  speckle patterns
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