Single Exposure Phase-Only Optical Image Encryption and Hiding Method via Deep Learning Article Swipe
Qinnan Zhang
,
Jiaosheng Li
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jphot.2022.3146456
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jphot.2022.3146456
Phase-only optical image security technology Based on one-time pad is an encryption and hiding method by introducing random key through phase modulation, which can improve the security of the system to a great extent. The application of traditional phase-only optical image encryption and hiding (POIEH) method is often limited by the amount of data and the quality of decrypted image. In this paper, a single exposure POIEH method using deep learning (DL) is proposed. The original image and corresponding encrypted hidden interferogram acquired with POIEH system are constructed to the train datasets for the learning of an end-to-end designed U-net, then the corresponding relationship between the encrypted hidden interferogram and the reconstructed image is learned and only single-frame encrypted hidden interferogram is needed to perform the reconstruction of POIEH. This method can realize real-time image encryption and hiding and high-quality decryption with only one interferogram. Simulation results and performance analysis show that the proposed method has higher security, stronger generalization ability and robustness.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jphot.2022.3146456
- https://ieeexplore.ieee.org/ielx7/4563994/9614351/09695212.pdf
- OA Status
- gold
- Cited By
- 15
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4210450453
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4210450453Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/jphot.2022.3146456Digital Object Identifier
- Title
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Single Exposure Phase-Only Optical Image Encryption and Hiding Method via Deep LearningWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-27Full publication date if available
- Authors
-
Qinnan Zhang, Jiaosheng LiList of authors in order
- Landing page
-
https://doi.org/10.1109/jphot.2022.3146456Publisher landing page
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https://ieeexplore.ieee.org/ielx7/4563994/9614351/09695212.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/4563994/9614351/09695212.pdfDirect OA link when available
- Concepts
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Computer science, Encryption, Artificial intelligence, Image (mathematics), Computer vision, Phase (matter), Computer security, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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15Total citation count in OpenAlex
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2025: 3, 2024: 8, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.limited | 48 |
| abstract_inverted_index.optical | 1, 39 |
| abstract_inverted_index.perform | 124 |
| abstract_inverted_index.quality | 56 |
| abstract_inverted_index.realize | 132 |
| abstract_inverted_index.results | 146 |
| abstract_inverted_index.through | 19 |
| abstract_inverted_index.acquired | 82 |
| abstract_inverted_index.analysis | 149 |
| abstract_inverted_index.datasets | 91 |
| abstract_inverted_index.designed | 98 |
| abstract_inverted_index.exposure | 65 |
| abstract_inverted_index.learning | 70, 94 |
| abstract_inverted_index.one-time | 7 |
| abstract_inverted_index.original | 75 |
| abstract_inverted_index.proposed | 153 |
| abstract_inverted_index.security | 3, 26 |
| abstract_inverted_index.stronger | 158 |
| abstract_inverted_index.decrypted | 58 |
| abstract_inverted_index.encrypted | 79, 106, 118 |
| abstract_inverted_index.proposed. | 73 |
| abstract_inverted_index.real-time | 133 |
| abstract_inverted_index.security, | 157 |
| abstract_inverted_index.Phase-only | 0 |
| abstract_inverted_index.Simulation | 145 |
| abstract_inverted_index.decryption | 140 |
| abstract_inverted_index.encryption | 11, 41, 135 |
| abstract_inverted_index.end-to-end | 97 |
| abstract_inverted_index.phase-only | 38 |
| abstract_inverted_index.technology | 4 |
| abstract_inverted_index.application | 35 |
| abstract_inverted_index.constructed | 87 |
| abstract_inverted_index.introducing | 16 |
| abstract_inverted_index.modulation, | 21 |
| abstract_inverted_index.performance | 148 |
| abstract_inverted_index.robustness. | 162 |
| abstract_inverted_index.traditional | 37 |
| abstract_inverted_index.high-quality | 139 |
| abstract_inverted_index.relationship | 103 |
| abstract_inverted_index.single-frame | 117 |
| abstract_inverted_index.corresponding | 78, 102 |
| abstract_inverted_index.interferogram | 81, 108, 120 |
| abstract_inverted_index.reconstructed | 111 |
| abstract_inverted_index.generalization | 159 |
| abstract_inverted_index.interferogram. | 144 |
| abstract_inverted_index.reconstruction | 126 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.84741965 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |