Fast Solution of Lippmann-Schwinger Equation with Efficient Neural Regularization

Subeen Pang; Subeen Pang; George Barbastathis; George Barbastathis; George Barbastathis

doi:10.1364/3D.2023.JW2A.2

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)
Technical Digest Series (Optica Publishing Group, 2023),
paper JW2A.2
•https://doi.org/10.1364/3D.2023.JW2A.2

Fast Solution of Lippmann-Schwinger Equation with Efficient Neural Regularization

Subeen Pang and George Barbastathis

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 II (JW2A)

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S. Pang and G. Barbastathis, "Fast Solution of Lippmann-Schwinger Equation with Efficient Neural Regularization," in Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), Technical Digest Series (Optica Publishing Group, 2023), paper JW2A.2.

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Abstract

We propose a neural network regularizer that mitigates the ill-conditionedness of the Lippmann-Schwinger equation. By learning the physics, it can significantly reduce the computational time and can be generalizable to objects unseen during the training.

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