Simultaneous Enhancement and Noise Suppression under Complex Illumination Conditions Article Swipe
Tao, Jing
,
Li, You
,
Guan, Banglei
,
Shang, Yang
,
Yu, Qifeng
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2512.08378
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2512.08378
Under challenging light conditions, captured images often suffer from various degradations, leading to a decline in the performance of vision-based applications. Although numerous methods have been proposed to enhance image quality, they either significantly amplify inherent noise or are only effective under specific illumination conditions. To address these issues, we propose a novel framework for simultaneous enhancement and noise suppression under complex illumination conditions. Firstly, a gradient-domain weighted guided filter (GDWGIF) is employed to accurately estimate illumination and improve image quality. Next, the Retinex model is applied to decompose the captured image into separate illumination and reflection layers. These layers undergo parallel processing, with the illumination layer being corrected to optimize lighting conditions and the reflection layer enhanced to improve image quality. Finally, the dynamic range of the image is optimized through multi-exposure fusion and a linear stretching strategy. The proposed method is evaluated on real-world datasets obtained from practical applications. Experimental results demonstrate that our proposed method achieves better performance compared to state-of-the-art methods in both contrast enhancement and noise suppression.
Related Topics
Concepts
Artificial intelligence
Computer vision
Noise (video)
Color constancy
Computer science
Filter (signal processing)
Reflection (computer programming)
Image (mathematics)
High dynamic range
Image enhancement
Dynamic range
Optics
Contrast (vision)
Image restoration
Range (aeronautics)
Composite image filter
Optical filter
Image fusion
Image quality
Image noise
Homomorphic filtering
High-dynamic-range imaging
Background noise
Image processing
Contrast enhancement
Noise suppression
Noise reduction
Reflectivity
Image formation
Fusion
Image contrast
Metadata
- Type
- preprint
- Landing Page
- https://doi.org/10.48550/arxiv.2512.08378
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7114776192
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7114776192Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2512.08378Digital Object Identifier
- Title
-
Simultaneous Enhancement and Noise Suppression under Complex Illumination ConditionsWork title
- Type
-
preprintOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-09Full publication date if available
- Authors
-
Tao, Jing, Li, You, Guan, Banglei, Shang, Yang, Yu, QifengList of authors in order
- Landing page
-
https://doi.org/10.48550/arxiv.2512.08378Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.48550/arxiv.2512.08378Direct OA link when available
- Concepts
-
Artificial intelligence, Computer vision, Noise (video), Color constancy, Computer science, Filter (signal processing), Reflection (computer programming), Image (mathematics), High dynamic range, Image enhancement, Dynamic range, Optics, Contrast (vision), Image restoration, Range (aeronautics), Composite image filter, Optical filter, Image fusion, Image quality, Image noise, Homomorphic filtering, High-dynamic-range imaging, Background noise, Image processing, Contrast enhancement, Noise suppression, Noise reduction, Reflectivity, Image formation, Fusion, Image contrastTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| abstract_inverted_index.practical | 149 |
| abstract_inverted_index.strategy. | 138 |
| abstract_inverted_index.accurately | 74 |
| abstract_inverted_index.conditions | 112 |
| abstract_inverted_index.real-world | 145 |
| abstract_inverted_index.reflection | 96, 115 |
| abstract_inverted_index.stretching | 137 |
| abstract_inverted_index.challenging | 1 |
| abstract_inverted_index.conditions, | 3 |
| abstract_inverted_index.conditions. | 44, 63 |
| abstract_inverted_index.demonstrate | 153 |
| abstract_inverted_index.enhancement | 56, 168 |
| abstract_inverted_index.performance | 17, 160 |
| abstract_inverted_index.processing, | 102 |
| abstract_inverted_index.suppression | 59 |
| abstract_inverted_index.Experimental | 151 |
| abstract_inverted_index.illumination | 43, 62, 76, 94, 105 |
| abstract_inverted_index.simultaneous | 55 |
| abstract_inverted_index.suppression. | 171 |
| abstract_inverted_index.vision-based | 19 |
| abstract_inverted_index.applications. | 20, 150 |
| abstract_inverted_index.degradations, | 10 |
| abstract_inverted_index.significantly | 33 |
| abstract_inverted_index.multi-exposure | 132 |
| abstract_inverted_index.gradient-domain | 66 |
| abstract_inverted_index.state-of-the-art | 163 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |