High-fidelity infrared U-shaped residual network digital holography with attention module for crystal growth observation

A technique based on infrared digital holography with a U-shaped residual SE network driven by simulated hologram data is proposed for real-time and high-fidelity monitoring of crystal growth. This method achieves high-quality reconstruction with accurate amplitude and phase information, enhanced noise suppression, and resolution, offering a novel, to the best of our knowledge, approach for non-destructive crystal growth observation.

Authors

Institutions

Publication Details

Journal
Optics Letters
Published
2025-02-12
DOI
https://doi.org/10.1364/ol.542742
Citations
7
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
7.95

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-fidelity infrared U-shaped residual network digital holography with attention module for crystal growth observation

Yi‐Feng Qiu, Haochong Huang, Zhiyuan Zheng, Dexin Sun et al.
7 citations
Optics Letters
Image Processing Techniques and Applications
7.95
article

High-fidelity infrared U-shaped residual network digital holography with attention module for crystal growth observation

Yi‐Feng Qiu, Haochong Huang, Zhiyuan Zheng, Dexin Sun, Yingying Zhai
article en
7 citations

Abstract

A technique based on infrared digital holography with a U-shaped residual SE network driven by simulated hologram data is proposed for real-time and high-fidelity monitoring of crystal growth. This method achieves high-quality reconstruction with accurate amplitude and phase information, enhanced noise suppression, and resolution, offering a novel, to the best of our knowledge, approach for non-destructive crystal growth observation.

Optics LettersVol. 50(6)
Shanghai Institute of Technical Physics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Image Processing Techniques and Applications
7.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.