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Proceedings Paper

Noise reduction in digital holography based on a filtering algorithm
Author(s): Wenhui Zhang; Liangcai Cao; Hua Zhang; Guofan Jin; David Brady
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Paper Abstract

Holography is a tool to record the object wavefront by interference. Complex amplitude of the object wave is coded into a two dimensional hologram. Unfortunately, the conjugate wave and background wave would also appear at the object plane during reconstruction, as noise, which blurs the reconstructed object. From the perspective of wave, we propose a filtering algorithm to get a noise-reduced reconstruction. Due to the fact that the hologram is a kind of amplitude grating, three waves would appear when reconstruction, which are object wave, conjugate wave and background wave. The background is easy to eliminate by frequency domain filtering. The object wave and conjugate wave are signals to be dealt with. These two waves, as a whole, propagate in the space. However, when detected at the original object plane, the object wave would diffract into a sparse pattern while the conjugate wave would diffract into a diffused pattern forming the noise. Hence, the noise can be reduced based on these difference with a filtering algorithm. Both amplitude and phase distributions are truthfully retrieved in our simulation and experimental demonstration.

Paper Details

Date Published: 23 February 2018
PDF: 6 pages
Proc. SPIE 10503, Quantitative Phase Imaging IV, 105030H (23 February 2018); doi: 10.1117/12.2288729
Show Author Affiliations
Wenhui Zhang, Tsinghua Univ. (China)
Duke Univ. (United States)
Liangcai Cao, Tsinghua Univ. (China)
Hua Zhang, Tsinghua Univ. (China)
Duke Univ. (United States)
Guofan Jin, Tsinghua Univ. (China)
David Brady, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 10503:
Quantitative Phase Imaging IV
Gabriel Popescu; YongKeun Park, Editor(s)

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