Noise reduction for compressive digital one-shot in-line holographic tomography

Hua Zhang; Liangcai Cao; Hao Zhang; Wenhui Zhang; Song Zong; Chao Han; Guofan Jin

doi:10.1117/12.2245871

31 October 2016 Noise reduction for compressive digital one-shot in-line holographic tomography

Hua Zhang, Liangcai Cao, Hao Zhang, Wenhui Zhang, Song Zong, Chao Han, Guofan Jin

Proceedings Volume 10022, Holography, Diffractive Optics, and Applications VII; 1002207 (2016) https://doi.org/10.1117/12.2245871
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

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.

Citation Download Citation

Hua Zhang, Liangcai Cao, Hao Zhang, Wenhui Zhang, Song Zong, Chao Han, and Guofan Jin "Noise reduction for compressive digital one-shot in-line holographic tomography", Proc. SPIE 10022, Holography, Diffractive Optics, and Applications VII, 1002207 (31 October 2016); https://doi.org/10.1117/12.2245871

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