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High dynamic camera design for night use combined with AI-ISP.

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Title: High dynamic camera design for night use combined with AI-ISP.
Authors: Qin, Zujun1 (AUTHOR), Tan, Qiuchen1 (AUTHOR), Peng, Zhiyong1 (AUTHOR)
Source: Computer Journal. Mar2026, Vol. 69 Issue 3, p508-519. 12p.
Subjects: High dynamic range imaging, Night vision, Optical devices, Image enhancement (Imaging systems), Image processing, Embedded computer systems
Abstract: In recent years, Artificial Intelligence Image Signal Processor (AI-ISP) have garnered significant attention in the field of low-light image restoration. Most existing low-light restoration methods primarily focus on enhancing dark regions, often resulting in over-saturation in brightly lit areas of the scene. Additionally, many models suffer from excessive parameter counts, making them unsuitable for practical deployment. To address these challenges, this paper proposes a lightweight, end-to-end AI-ISP network. The network comprises a base module for integrated image feature extraction and a weight modulation module designed to handle high-dynamic regions in images, enabling both low-light restoration and glare suppression. Furthermore, a specialized dataset featuring high-dynamic image effects has been constructed to support the training of the proposed AI-ISP network, enhancing its performance for nighttime applications. In addition, this study discusses the model pruning, quantization and parallel acceleration strategy combined with the process pool to optimize the computational efficiency. The proposed algorithm is successfully deployed on the RK3588 embedded platform to develop a high-dynamic night vision camera. Experimental results demonstrate that the AI-ISP-powered night vision camera can recover low-light details from RAW images with a resolution of 1 × 768 × 1024 at ~24 frames per second, while simultaneously delivering superior glare suppression and high-dynamic performance. [ABSTRACT FROM AUTHOR]
Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 192444125
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: High dynamic camera design for night use combined with AI-ISP.
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  Data: <searchLink fieldCode="AR" term="%22Qin%2C+Zujun%22">Qin, Zujun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tan%2C+Qiuchen%22">Tan, Qiuchen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peng%2C+Zhiyong%22">Peng, Zhiyong</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Computer+Journal%22">Computer Journal</searchLink>. Mar2026, Vol. 69 Issue 3, p508-519. 12p.
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  Data: <searchLink fieldCode="DE" term="%22High+dynamic+range+imaging%22">High dynamic range imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Night+vision%22">Night vision</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+devices%22">Optical devices</searchLink><br /><searchLink fieldCode="DE" term="%22Image+enhancement+%28Imaging+systems%29%22">Image enhancement (Imaging systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Embedded+computer+systems%22">Embedded computer systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In recent years, Artificial Intelligence Image Signal Processor (AI-ISP) have garnered significant attention in the field of low-light image restoration. Most existing low-light restoration methods primarily focus on enhancing dark regions, often resulting in over-saturation in brightly lit areas of the scene. Additionally, many models suffer from excessive parameter counts, making them unsuitable for practical deployment. To address these challenges, this paper proposes a lightweight, end-to-end AI-ISP network. The network comprises a base module for integrated image feature extraction and a weight modulation module designed to handle high-dynamic regions in images, enabling both low-light restoration and glare suppression. Furthermore, a specialized dataset featuring high-dynamic image effects has been constructed to support the training of the proposed AI-ISP network, enhancing its performance for nighttime applications. In addition, this study discusses the model pruning, quantization and parallel acceleration strategy combined with the process pool to optimize the computational efficiency. The proposed algorithm is successfully deployed on the RK3588 embedded platform to develop a high-dynamic night vision camera. Experimental results demonstrate that the AI-ISP-powered night vision camera can recover low-light details from RAW images with a resolution of 1 × 768 × 1024 at ~24 frames per second, while simultaneously delivering superior glare suppression and high-dynamic performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192444125
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/comjnl/bxaf128
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 508
    Subjects:
      – SubjectFull: High dynamic range imaging
        Type: general
      – SubjectFull: Night vision
        Type: general
      – SubjectFull: Optical devices
        Type: general
      – SubjectFull: Image enhancement (Imaging systems)
        Type: general
      – SubjectFull: Image processing
        Type: general
      – SubjectFull: Embedded computer systems
        Type: general
    Titles:
      – TitleFull: High dynamic camera design for night use combined with AI-ISP.
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            NameFull: Qin, Zujun
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            NameFull: Tan, Qiuchen
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            NameFull: Peng, Zhiyong
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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