Real-Time Low-Light Imaging in Space Based on the Fusion of Spatial and Frequency Domains Article Swipe
Jiaxin Wu
,
Haifeng Zhang
,
Biao Li
,
Jiaxin Duan
,
Qianxi Li
,
Zeyu He
,
Jianzhong Cao
,
Hao Wang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12245022
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12245022
Due to the low photon count in space imaging and the performance bottlenecks of edge computing devices, there is a need for a practical low-light imaging solution that maintains satisfactory recovery while offering lower network latency, reduced memory usage, fewer model parameters, and fewer operation counts. Therefore, we propose a real-time deep learning framework for low-light imaging. Leveraging the parallel processing capabilities of the hardware, we perform the parallel processing of the image data from the original sensor across branches with different dimensionalities. The high-dimensional branch conducts high-dimensional feature learning in the spatial domain, while the mid-dimensional and low-dimensional branches perform pixel-level and global feature learning through the fusion of the spatial and frequency domains. This approach ensures a lightweight network model while significantly improving the quality and speed of image recovery. To adaptively adjust the image based on brightness and avoid the loss of detailed pixel feature information, we introduce an adaptive balancing module, thereby greatly enhancing the effectiveness of the model. Finally, through validation on the SID dataset and our own low-light satellite dataset, we demonstrate that this method can significantly improve image recovery speed while ensuring image recovery quality.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics12245022
- https://www.mdpi.com/2079-9292/12/24/5022/pdf?version=1702634132
- OA Status
- gold
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389782777
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389782777Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics12245022Digital Object Identifier
- Title
-
Real-Time Low-Light Imaging in Space Based on the Fusion of Spatial and Frequency DomainsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-15Full publication date if available
- Authors
-
Jiaxin Wu, Haifeng Zhang, Biao Li, Jiaxin Duan, Qianxi Li, Zeyu He, Jianzhong Cao, Hao WangList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics12245022Publisher landing page
- PDF URL
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https://www.mdpi.com/2079-9292/12/24/5022/pdf?version=1702634132Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2079-9292/12/24/5022/pdf?version=1702634132Direct OA link when available
- Concepts
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Computer science, Feature (linguistics), Artificial intelligence, Low latency (capital markets), Pixel, Computer vision, Image quality, Image fusion, Latency (audio), Image (mathematics), Telecommunications, Philosophy, Linguistics, Computer networkTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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30Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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