Single-Shot Wavefront Aberration Correction using a Hybrid Neural Network Approach

We present a machine learning-based approach for wavefront aberration correction using a single intensity image. Our approach utilizes a trained bias, implemented as a single optical element, to effectively resolve ambiguity issues.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_si.2025.ss118_7
Citations
1
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
1.19
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article

Single-Shot Wavefront Aberration Correction using a Hybrid Neural Network Approach

Abdoulaye Ndao, Muhammad Khalid, Alexander V. Sergienko, Sina Moayed Baharlou
1 citations
Advanced Optical Sensing Technologies
1.19
article

Single-Shot Wavefront Aberration Correction using a Hybrid Neural Network Approach

Abdoulaye Ndao, Muhammad Khalid, Alexander V. Sergienko, Sina Moayed Baharlou
article en
1 citations

Abstract

We present a machine learning-based approach for wavefront aberration correction using a single intensity image. Our approach utilizes a trained bias, implemented as a single optical element, to effectively resolve ambiguity issues.

Openalex Percentile: Top 17%
Advanced Optical Sensing Technologies
1.19
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Single-Shot Wavefront Aberration Correction using a Hybrid Neural Network Approach — Abdoulaye Ndao, Muhammad Khalid, et al. · (2025) | TGRS Research Map | TGRS