Phase retrieval with multiple sensor masks

Li Song; Haosen Liu; Edmund Y. Lam

doi:10.1364/3D.2023.JTu4A.44

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)
Technical Digest Series (Optica Publishing Group, 2023),
paper JTu4A.44
•https://doi.org/10.1364/3D.2023.JTu4A.44

Phase retrieval with multiple sensor masks

Li Song, Haosen Liu, and Edmund Y. Lam

3D Image Acquisition and Display: Technology, Perception and Applications 2023

Boston, Massachusetts United States
14–17 August 2023
ISBN: 978-1-957171-28-9

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Joint Poster Session I (JTu4A)

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L. Song, H. Liu, and E. Y. Lam, "Phase retrieval with multiple sensor masks," in Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), Technical Digest Series (Optica Publishing Group, 2023), paper JTu4A.44.

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Abstract

Since single sensor mask may cause information lost during phase retrieval, we refer to the Monte Carlo method to design multiple binary sensor masks for one diffraction pattern, leading to the enhanced phase retrieval result.

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