Block-matching-based filtration in holographic tomography reconstruction

Piotr Stępień; Malgorzata Kujawińska

doi:10.1117/12.2526003

21 June 2019 Block-matching-based filtration in holographic tomography reconstruction

Proceedings Volume 11060, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV; 1106018 (2019) https://doi.org/10.1117/12.2526003
Event: SPIE Optical Metrology, 2019, Munich, Germany

Abstract

In this paper we discuss the influence of the camera noise in holographic projections measurements on the accuracy of reconstruction in the limited projection angle optical diffraction tomography (LAODT). To counteract the shortcomings of LAODT due to “missing cone” problem we apply generalized total variation iterative constraint (GTVIC) algorithm which replenishes the spectral contents of the reconstruction. To investigate the influence of the noise on result of the GTVIC reconstruction we perform systematic numerical experiments based on simulated phantom mimicking a cell and tailored to the measurement parameters of LAODT system. Next, to mitigate the disruptive influence of noise we test the efficiency of two denoising procedures based on blockmatching technique, namely BM3D and BM4D. Thanks to the properties of those algorithms, the denoising may be applied directly on holograms or hologram stacks, without destroying the fringes. The tomographic GTVIC reconstruction results from data after filtration will be compared with noise-free reconstruction, in reference to the simple median filtering of the noisy reconstruction.

Citation Download Citation

Piotr Stępień and Malgorzata Kujawińska "Block-matching-based filtration in holographic tomography reconstruction", Proc. SPIE 11060, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV, 1106018 (21 June 2019); https://doi.org/10.1117/12.2526003

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