High Dynamic Range Image Synthesis Strategy for Automotive Cameras.
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| Title: | High Dynamic Range Image Synthesis Strategy for Automotive Cameras. |
|---|---|
| Authors: | Xu, Xiangyang1, Li, Chan1, Xu, hiting2, Zheng, Caiyun2, Zhang, hicheng1 zhangzhch8@szpu.edu.cn |
| Source: | Journal of Imaging Science & Technology. Jan/Feb2026, Vol. 70 Issue 1, p1-8. 8p. |
| Subjects: | High dynamic range imaging, Image quality analysis, Automobile rear view cameras, Wave amplification, Driver assistance systems, Autonomous vehicles |
| Abstract: | High dynamic range (HDR) imaging techniques effectively enhance image quality in driving scenarios. However, HDR image synthesis in automotive cameras remains challenging due to complex conditions such as high-contrast scenes, low-light environments, and vehicle motion. Automotive cameras typically optimize image quality by adjusting exposure time to control the duration of light capture and tuning analog gain to amplify the sensitivity of the imaging sensor. The study aims to identify the optimal parameter combinations of exposure times and analog gain settings for HDR image synthesis in automotive cameras. The authors acquire images at three frames captured under different exposure time and analog gain combinations and use HDR image synthesis techniques to simulate HDR images. A composite quality evaluation method was established based on four dimensions: tone range, tone levels, contrast, and signal-to-noise ratio. Quantitative analysis revealed that the best HDR image quality was achieved when the exposure time ranged from 5 ms to 20 ms and the analog gain ranged from 1x to 2x. The proposed HDR image synthesis strategy demonstrates significant practical value for automotive vision systems, improving image quality and providing more accurate and reliable visual information for autonomous driving and advanced driver-assistance systems, enhancing driving safety and user experience. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology 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: 192941577 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: High Dynamic Range Image Synthesis Strategy for Automotive Cameras. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xu%2C+Xiangyang%22">Xu, Xiangyang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Chan%22">Li, Chan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xu%2C+hiting%22">Xu, hiting</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Zheng%2C+Caiyun%22">Zheng, Caiyun</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+hicheng%22">Zhang, hicheng</searchLink><relatesTo>1</relatesTo><i> zhangzhch8@szpu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Science+%26+Technology%22">Journal of Imaging Science & Technology</searchLink>. Jan/Feb2026, Vol. 70 Issue 1, p1-8. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22High+dynamic+range+imaging%22">High dynamic range imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Image+quality+analysis%22">Image quality analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Automobile+rear+view+cameras%22">Automobile rear view cameras</searchLink><br /><searchLink fieldCode="DE" term="%22Wave+amplification%22">Wave amplification</searchLink><br /><searchLink fieldCode="DE" term="%22Driver+assistance+systems%22">Driver assistance systems</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: High dynamic range (HDR) imaging techniques effectively enhance image quality in driving scenarios. However, HDR image synthesis in automotive cameras remains challenging due to complex conditions such as high-contrast scenes, low-light environments, and vehicle motion. Automotive cameras typically optimize image quality by adjusting exposure time to control the duration of light capture and tuning analog gain to amplify the sensitivity of the imaging sensor. The study aims to identify the optimal parameter combinations of exposure times and analog gain settings for HDR image synthesis in automotive cameras. The authors acquire images at three frames captured under different exposure time and analog gain combinations and use HDR image synthesis techniques to simulate HDR images. A composite quality evaluation method was established based on four dimensions: tone range, tone levels, contrast, and signal-to-noise ratio. Quantitative analysis revealed that the best HDR image quality was achieved when the exposure time ranged from 5 ms to 20 ms and the analog gain ranged from 1x to 2x. The proposed HDR image synthesis strategy demonstrates significant practical value for automotive vision systems, improving image quality and providing more accurate and reliable visual information for autonomous driving and advanced driver-assistance systems, enhancing driving safety and user experience. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2352/J.ImagingSci.Technol.2026.70.1.010407 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Subjects: – SubjectFull: High dynamic range imaging Type: general – SubjectFull: Image quality analysis Type: general – SubjectFull: Automobile rear view cameras Type: general – SubjectFull: Wave amplification Type: general – SubjectFull: Driver assistance systems Type: general – SubjectFull: Autonomous vehicles Type: general Titles: – TitleFull: High Dynamic Range Image Synthesis Strategy for Automotive Cameras. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xu, Xiangyang – PersonEntity: Name: NameFull: Li, Chan – PersonEntity: Name: NameFull: Xu, hiting – PersonEntity: Name: NameFull: Zheng, Caiyun – PersonEntity: Name: NameFull: Zhang, hicheng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan/Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10623701 Numbering: – Type: volume Value: 70 – Type: issue Value: 1 Titles: – TitleFull: Journal of Imaging Science & Technology Type: main |
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