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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 31, Iss. 9 — Sep. 1, 2014
  • pp: 2105–2108

An improved algorithm to reduce noise in high-order thermal ghost imaging

Xi-Hao Chen, Shuang-Shuang Wu, Wei Wu, Wang-Yuan Guo, Shao-Ying Meng, Zhi-Bin Sun, Guang-Jie Zhai, Ming-Fei Li, and Ling-An Wu  »View Author Affiliations


JOSA A, Vol. 31, Issue 9, pp. 2105-2108 (2014)
http://dx.doi.org/10.1364/JOSAA.31.002105


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Abstract

A modified Nth-order correlation function is derived that can effectively remove the noise background encountered in high-order thermal light ghost imaging (GI). Based on this, the quality of the reconstructed images in an Nth-order lensless GI setup has been greatly enhanced compared to former high-order schemes for the same sampling number. In addition, the dependence of the visibility and signal-to-noise ratio for different high-order images on the sampling number has been measured and compared.

© 2014 Optical Society of America

OCIS Codes
(030.0030) Coherence and statistical optics : Coherence and statistical optics
(110.6820) Imaging systems : Thermal imaging
(270.0270) Quantum optics : Quantum optics

ToC Category:
Imaging Systems

History
Original Manuscript: July 3, 2014
Manuscript Accepted: August 4, 2014
Published: August 29, 2014

Citation
Xi-Hao Chen, Shuang-Shuang Wu, Wei Wu, Wang-Yuan Guo, Shao-Ying Meng, Zhi-Bin Sun, Guang-Jie Zhai, Ming-Fei Li, and Ling-An Wu, "An improved algorithm to reduce noise in high-order thermal ghost imaging," J. Opt. Soc. Am. A 31, 2105-2108 (2014)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-31-9-2105

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