Imaging Components, Systems, and Processing

Single exposure superresolution restoration for optical sparse aperture based on random convolution

[+] Author Affiliations
Li Liu, Chaoyi Guo

Taiyuan University of Technology, Ministry of Education and Shanxi Province, Key Laboratory of Advanced Transducers and Intelligent Control Systems, College of Physics and Optoelectronics, Taiyuan, China

Yuntao He

Beihang University, School of Electronic and Information Engineering, Beijing, China

Opt. Eng. 56(7), 073102 (Jul 10, 2017). doi:10.1117/1.OE.56.7.073102
History: Received November 21, 2016; Accepted June 20, 2017
Text Size: A A A

Abstract.  A single exposure superresolution (SR) restoration algorithm for an optical sparse aperture (OSA) imaging system based on random convolution is proposed. The low-resolution image from the OSA system is restored by adding a set of incoherent measurements taken using random convolution architecture, in which there is a random phase mask in the Fourier plane and a random amplitude mask in the image plane in the conventional optical 4f system. Both masks are generated by chaotic maps. The simulation results show that this algorithm can effectively recover the images degraded by both optical diffraction effect and geometrical limited resolution under noisy and aberrated conditions. The spatial resolution gain factor is above 2.82 without subsampling and 1.26 with subsampling. Moreover, it can obtain a better restoration quality than traditional algorithms by optimizing the initial conditions of chaotic maps.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Li Liu ; Chaoyi Guo and Yuntao He
"Single exposure superresolution restoration for optical sparse aperture based on random convolution", Opt. Eng. 56(7), 073102 (Jul 10, 2017). ; http://dx.doi.org/10.1117/1.OE.56.7.073102


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.