4.6 Article

Image quality recovery in binary ghost imaging by adding random noise

Journal

OPTICS LETTERS
Volume 42, Issue 8, Pages 1640-1643

Publisher

OPTICAL SOC AMER
DOI: 10.1364/OL.42.001640

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Funding

  1. National Natural Science Foundation of China (NSFC) [61631014, 61401036, 61471051, 61531003]
  2. National Science Fund for Distinguished Young Scholars of China [61225003]
  3. China Postdoctoral Science Foundation [2015M580008]
  4. Youth Research and Innovation Program of BUPT [2015RC12]
  5. PhD Students' Overseas Research Program of Peking University, China

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When the sampling data of ghost imaging are recorded with less bits, i.e., experiencing quantization, a decline in image quality is observed. The fewer bits that are used, the worse the image one gets. Dithering, which adds suitable random noise to the raw data before quantization, is proved to be capable of compensating image quality decline effectively, even for the extreme binary sampling case. A brief explanation and parameter optimization of dithering are given. (C) 2017 Optical Society of America

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