参考臂差分压缩关联成像方案研究

发布时间：2019-01-01 16:47

【摘要】：关联成像可以在不包含物体的参考光路中获得物体的像,提供了一种运用常规手段难以获得清晰图像的方法,现已成为量子光学领域的前沿和热点。然而,高分辨率成像和短成像时间一直是关联成像研究的热门。本文提出一种基于压缩感知的参考臂差分关联成像方案(简称,参考臂差分压缩关联成像),只对参考臂测量值做差分运算,而不对物体做差分运算。在方案中,参考臂多次测量的赝热光源强度的随机分布差分被选为压缩感知的测量矩阵,物臂多次测量的关联信息被选为测量值,利用压缩感知重建方法,高质量地恢复出物体信息。理论研究和数值仿真结果表明,该方案可获得文献[19]差分压缩关联成像方案一样的结果,即无论在成像分辨率还是在成像时间等关键性能上都明显优于常规关联成像方案。
[Abstract]:Correlation imaging can obtain the images of objects in the reference light path without objects. It provides a method that it is difficult to obtain clear images by conventional methods. It has become the frontier and hot spot in quantum optics field. However, high resolution imaging and short imaging time have been a hot topic in the field of correlation imaging. In this paper, a differential correlation imaging scheme for reference arm based on compression sensing is proposed. The differential correlation imaging of reference arm is only performed on the reference arm, but not on the object. In the scheme, the random distribution difference of pseudo thermal light source intensity measured by reference arm is selected as the measurement matrix of compression perception, and the correlation information measured by object arm multiple times is selected as the measurement value. Restore object information in high quality. The theoretical research and numerical simulation results show that the proposed scheme can obtain the same results as in the reference [19] differential compression correlation imaging scheme, that is, it is obviously superior to the conventional correlation imaging scheme in terms of imaging resolution and imaging time.
【作者单位】：南京邮电大学信号与信息处理研究院;
【基金】：国家自然科学基金(61271238,61271240) 教育部高等学校博士学科点专项科研基金(20123223110003) 江苏省高校自然科学研究项目资助(11KJA510002) 固体微结构物理国家重点实验室开放课题(M25020,M25022) 江苏高校优势学科建设工程资助项目图像处理与图像通信江苏省重点实验室
【分类号】：TN911.73

【相似文献】