Super-resolution imaging and autofocusing via compressive-sensing-based twin-image-free holography

被引:0
作者
Zhang, Cheng [1 ,2 ]
Shi, Jisen [1 ]
Zhou, Jiaxuan [1 ]
Han, Peng [1 ]
Zhou, Hao [1 ]
Yang, Hairong [3 ]
Shen, Chuan [1 ]
Wei, Sui [1 ]
机构
[1] Anhui Univ, Key Lab Intelligent Comp & Signal Proc, Minist Educ, Hefei 230601, Anhui, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[3] Hefei Normal Univ, Dept Math, Hefei 230069, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
super-resolution imaging; autofocusing; compressive-sensing; twin-image-free holography; DIGITAL HOLOGRAPHY; RECONSTRUCTION; MICROSCOPY; CONTRAST;
D O I
10.1088/1402-4896/ad4c20
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This paper presents an iterative reconstruction framework for super-resolution imaging and autofocusing via compressive-sensing-based twin-image-free holography (SRI-AF-CS-TIFH) for 3D (multi-plane) object in compressed holographic imaging. In our proposed framework, in the first step, the Hough transform edge detection method is incorporated into the eigenvalue-based autofocusing algorithm (dubbed as EIG-AF-Hough) to accurately estimate the focus distances for each plane of multi-plane objects from the snapshot measurements; In the second step, nonlinear optimization is used to achieve the super-resolution reconstruction from the same snapshot measurements. Experimental results demonstrate the effectiveness of our proposed framework for achieving autofocusing and super-resolution in compressed holographic imaging simultaneously in both simulated and real holographic scenarios.
引用
收藏
页数:13
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