Single-shot lensless imaging with fresnel zone aperture and incoherent illumination

Jiachen Wu; Hua Zhang; Wenhui Zhang; Guofan Jin; Liangcai Cao; George Barbastathis

doi:10.1038/s41377-020-0289-9

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Single-shot lensless imaging with fresnel zone aperture and incoherent illumination

Original Articles

- Single-shot lensless imaging with fresnel zone aperture and incoherent illumination
- Light: Science & Applications Vol. 9, Issue 3, Pages: 563-573(2020)
- Affiliations：
  
  1.State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, 100084 Beijing, China
  2.Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
- Author bio：
  
  Liangcai Cao (clc@tsinghua.edu.cn)
  George Barbastathis (gbarb@mit.edu)
- Funds：
- DOI：10.1038/s41377-020-0289-9
  CLC：
- Published：2020，
  
  Published Online：07 April 2020，
  
  Received：19 August 2019，
  
  Revised：12 March 2020，
  
  Accepted：15 March 2020
- Accepted：
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Wu, J. C. et al. Single-shot lensless imaging with fresnel zone aperture and incoherent illumination. Light: Science & Applications, 9, 563-573 (2020).
DOI：

Wu, J. C. et al. Single-shot lensless imaging with fresnel zone aperture and incoherent illumination. Light: Science & Applications, 9, 563-573 (2020). DOI： 10.1038/s41377-020-0289-9.

摘要

Abstract

Lensless imaging eliminates the need for geometric isomorphism between a scene and an image while allowing the construction of compact

lightweight imaging systems. However

a challenging inverse problem remains due to the low reconstructed signal-to-noise ratio. Current implementations require multiple masks or multiple shots to denoise the reconstruction. We propose single-shot lensless imaging with a Fresnel zone aperture and incoherent illumination. By using the Fresnel zone aperture to encode the incoherent rays in wavefront-like form

the captured pattern has the same form as the inline hologram. Since conventional backpropagation reconstruction is troubled by the twin-image problem

we show that the compressive sensing algorithm is effective in removing this twin-image artifact due to the sparsity in natural scenes. The reconstruction with a significantly improved signal-to-noise ratio from a single-shot image promotes a camera architecture that is flat and reliable in its structure and free of the need for strict calibration.

关键词

Keywords

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