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Proceedings Paper

Single-pixel imaging using non-local means-based reconstruction algorithm
Author(s): Hui Yu; Fusheng Chen; Zhijie Zhang; Chensheng Wang
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Paper Abstract

Single-pixel imaging was initially based on a statistical model, which uses a series of random patterns for illumination. This means that it requires a great number of measurements (much larger than pixel counts) and long data-acquisition time. Therefore it is necessary to enhance the effective of information collection and reconstruction by employing some priori information. In this paper, a single pixel imaging system is proposed based on APD and Spatial light modulator. And then an image reconstruction algorithm is proposed based on non-local means (NLM). Based on that there are a large number of similar patches within an infrared image, NLM method can abstract the non-local similarity information and then the value of image pixel can be estimated. The reconstructed image is obtained by minimizing a cost function.

Paper Details

Date Published: 9 October 2018
PDF: 13 pages
Proc. SPIE 10795, Electro-Optical and Infrared Systems: Technology and Applications XV, 107950V (9 October 2018); doi: 10.1117/12.2325537
Show Author Affiliations
Hui Yu, Wuhan National Lab. for Optoelectronics (China)
Fusheng Chen, Wuhan National Lab. for Optoelectronics (China)
Zhijie Zhang, Wuhan National Lab. for Optoelectronics (China)
Chensheng Wang, Wuhan National Lab. for Optoelectronics (China)


Published in SPIE Proceedings Vol. 10795:
Electro-Optical and Infrared Systems: Technology and Applications XV
David A. Huckridge; Helge Bürsing; Duncan L. Hickman, Editor(s)

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