Learning-based noise reduction method for incoherent digital holography

Junbeom Moon; Junbeom Moon; Kihong Choi; Keehoon Hong; Joongki Park; Soon Ki Jung

doi:10.1364/DH.2022.Th4A.1

Digital Holography and 3-D Imaging 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper Th4A.1
•https://doi.org/10.1364/DH.2022.Th4A.1

Learning-based noise reduction method for incoherent digital holography

Junbeom Moon, Kihong Choi, Keehoon Hong, Joongki Park, and Soon Ki Jung

Digital Holography and Three-Dimensional Imaging 2022

Cambridge United Kingdom
1–4 August 2022
ISBN: 978-1-957171-12-8

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Novel Techniques and Applications (Th4A)

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J. Moon, K. Choi, K. Hong, J. Park, and S. K. Jung, "Learning-based noise reduction method for incoherent digital holography," in Digital Holography and 3-D Imaging 2022, D. Chu, J. Park, C. Cheng, and P. Ferraro, eds., Technical Digest Series (Optica Publishing Group, 2022), paper Th4A.1.

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Abstract

The reconstructed image acquired from the incoherent holographic system contains a high degree of the grainy noise component. We propose a learning-based noise reduction scheme to mitigate such noise in the complex-valued domain.

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