Higher-Order Optical Differential Operations Based on Synergetic Integrated Geometric Phases

Optical differential operations are a core technology in image processing, playing a crucial role in optical information processing and precise measurements. Higher-order differential operations provide enhanced imaging resolution and greater modulation degrees of freedom but are typically limited to single geometric phases. Here, a higher-order differential method, achieved through the synergetic integration of the geometric Pancharatnam–Berry (PB) phase and Rytov–Vlasimirskii–Berry (RVB) phase, is proposed. This method demonstrates the generation of various spatial modes of Hermite–Gaussian (HG) beams through differential operations and can be applied to high-resolution edge detection of different targets, including those with varying amplitudes and phases. Furthermore, simple and accurate quantitative phase reconstruction can be realized based on higher-order differential operations. These results have the potential to improve measurement accuracy and provide new insights for all-optical image processing.

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Publication Details

Journal
ACS Photonics
Published
2025-08-16
DOI
https://doi.org/10.1021/acsphotonics.5c00726
Citations
1
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
2.48

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article

Higher-Order Optical Differential Operations Based on Synergetic Integrated Geometric Phases

Hua Yang, Yunxia Wang
1 citations
ACS Photonics
Neural Networks and Reservoir Computing
2.48
article

Higher-Order Optical Differential Operations Based on Synergetic Integrated Geometric Phases

Hua Yang, Yunxia Wang
article en
1 citations

Abstract

Optical differential operations are a core technology in image processing, playing a crucial role in optical information processing and precise measurements. Higher-order differential operations provide enhanced imaging resolution and greater modulation degrees of freedom but are typically limited to single geometric phases. Here, a higher-order differential method, achieved through the synergetic integration of the geometric Pancharatnam–Berry (PB) phase and Rytov–Vlasimirskii–Berry (RVB) phase, is proposed. This method demonstrates the generation of various spatial modes of Hermite–Gaussian (HG) beams through differential operations and can be applied to high-resolution edge detection of different targets, including those with varying amplitudes and phases. Furthermore, simple and accurate quantitative phase reconstruction can be realized based on higher-order differential operations. These results have the potential to improve measurement accuracy and provide new insights for all-optical image processing.

ACS PhotonicsVol. 12(9)
Hunan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Neural Networks and Reservoir Computing
2.48
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