Rapid Reconstruction of Acoustic Holograms Using Improved IU-Net With Adaptive Learning Rate Scheduling

Rapid Reconstruction of Acoustic Holograms Using Improved IU-Net With Adaptive Learning Rate Scheduling

The method of physically recording acoustic holograms is time-consuming and inefficient, hindering the ability to reconstruct acoustic holograms rapidly. This text aims to propose a deep learning strategy based on an improved IU-Net to rapidly reconstruct acoustic holograms with phase information. T...

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Bibliographic Details
Main Authors: Mingzhe Cui, Yang Li, Xuewei Wang, Jia Wang, Haoxuan Rong
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Acoustic hologram
deep learning
acoustic field reconstruction
wave propagation
learning rate scheduler
Online Access:https://ieeexplore.ieee.org/document/10752505/
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