Complex-amplitude-modulated meta-device for optical image processing
Nowadays, convolutional neural networks (CNNs) have become a powerful tool in areas such as object recognition and natural language processing. However, considering that electronic convolutional operation always contains million-level parameters and complex calculation process, it consumes a large n...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Chip |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2709472325000061 |
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| Summary: | Nowadays, convolutional neural networks (CNNs) have become a powerful tool in areas such as object recognition and natural language processing. However, considering that electronic convolutional operation always contains million-level parameters and complex calculation process, it consumes a large number of computing resources and time. To overcome these limitations, we proposed a design of complex-amplitude-modulated meta-device which could perform various functions of image processing. In this work, we demonstrated the excellent performance of two-dimensional edge detection and Gaussian filtering. The proposed convolutional system could serve as a new optical computing hardware and provide a new approach for CNNs, biological microscopy, and near-infrared imaging. |
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| ISSN: | 2709-4723 |