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Proceedings Paper

Noise reduction for compressive digital one-shot in-line holographic tomography
Author(s): Hua Zhang; Liangcai Cao; Hao Zhang; Wenhui Zhang; Song Zong; Chao Han; Guofan Jin
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Paper Abstract

Digital holography can reconstruct 3-D data cube from a 2-D hologram for the tomographic imaging. Digital one-shot inline holography (DOIH) maintains the maximal space-bandwidth product compared with off-axis holography and keeps both amplitude and phase in the interference pattern. DOIH often suffers from intrinsic defects such as twin-image interruption and squared noise. In this work, compressive sensing is applied in the tomographic reconstruction to overcome the defects. The designed algorithm based on compressive DOIH demonstrates the feasibility in removing the squared noise from a single 2-D in-line hologram.

Paper Details

Date Published: 31 October 2016
PDF: 7 pages
Proc. SPIE 10022, Holography, Diffractive Optics, and Applications VII, 1002207 (31 October 2016); doi: 10.1117/12.2245871
Show Author Affiliations
Hua Zhang, Tsinghua Univ. (China)
Liangcai Cao, Tsinghua Univ. (China)
Hao Zhang, Tsinghua Univ. (China)
Wenhui Zhang, Tsinghua Univ. (China)
Song Zong, Tsinghua Univ. (China)
Chao Han, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 10022:
Holography, Diffractive Optics, and Applications VII
Yunlong Sheng; Chongxiu Yu; Changhe Zhou, Editor(s)

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