RESE-CNN: Residual Squeeze-and-Excitation Network for High-Contrast Optical Tomography Reconstruction

RESE-CNN: Residual Squeeze-and-Excitation Network for High-Contrast Optical Tomography Reconstruction

Optical tomography, a critical component of process tomography, is an important tool for determining the absorption coefficient of cross-sectional media, with significant applications in multi-phase flow analysis, chemical processing, and combustion studies. However, the precise reconstruction of th...

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Bibliographic Details
Main Authors: Zhu Yingkuang, Pan Zhenhua, Li Huajun, Chen Jianyang, Sheng Yihao
Format: Article
Language:English
Published: Sciendo 2025-06-01
Series:Measurement Science Review
Subjects:
optical tomography
deep learning
reconstruction algorithm
Online Access:https://doi.org/10.2478/msr-2025-0010
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