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Proceedings Paper

An efficient iterative super-resolution technology for coded aperture imaging
Author(s): Linpeng Lu; Jiasong Sun; Shengchen Kan; Chao Zuo
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Paper Abstract

In this paper, we employ coded aperture imaging (CAI), an emerging computational technology that captures 4D light-field information to realize pixel super-resolution imaging via post-processing. Our CAI experimental setup is built based on 4f delay system with reflective optical path structure, where a programmable LCOS spatial light modulator is integrated at the Fourier plane to implement high-resolution high-contrast aperture coding, without requiring specialized hardware or any moving parts. In addition, we propose an iterative super-solution reconstruction algorithm based on aperture coding, optical fields manipulation and compressed sensing. First, we establish an accurate mathematical model for the OTF of coded aperture system and pixel binning process. Then, based on a series of low-resolution intensity image, we computationally reconstruct the high-resolution image with the convex projection iterative algorithm. The effectiveness of this algorithm is demonstrated with both simulation and experimental results. Due to its flexibility and simplicity, this technology can break physical limitations of the detectors’ resolution to one that is solvable through computation, rendering it a promising tool in public security, military survey, medical science and many other fields.

Paper Details

Date Published: 24 October 2017
PDF: 5 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624R (24 October 2017); doi: 10.1117/12.2285584
Show Author Affiliations
Linpeng Lu, Nanjing Univ. of Science and Technology (China)
Jiasong Sun, Nanjing Univ. of Science and Technology (China)
Shengchen Kan, Nanjing Univ. of Science and Technology (China)
Chao Zuo, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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