Improving low-light image quality for object detection and license plate recognition
Enhancing low-light image quality is crucial for object detection and license plate recognition in surveillance and security applications. Poor illumination degrades image clarity, making accurate recognition difficult. This paper investigates a combination of image enhancement techniques—including...
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| Format: | Article |
| Language: | English |
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ICI Publishing House
2025-06-01
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| Series: | Revista Română de Informatică și Automatică |
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| Online Access: | https://rria.ici.ro/documents/1373/art._Sridhar_Suresh_Babu_Ravisankar.pdf |
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| author | Rishab SRIDHAR Rohith Arumugam SURESH Shreejith BABU Priyadharsini RAVISANKAR |
| author_facet | Rishab SRIDHAR Rohith Arumugam SURESH Shreejith BABU Priyadharsini RAVISANKAR |
| author_sort | Rishab SRIDHAR |
| collection | DOAJ |
| description | Enhancing low-light image quality is crucial for object detection and license plate recognition in surveillance and security applications. Poor illumination degrades image clarity, making accurate recognition difficult. This paper investigates a combination of image enhancement techniques—including Unsharp Masking, Gamma Correction, Gaussian Blur, and Histogram Equalization—to improve visibility and recognition accuracy in low-light conditions. The performance of these methods is quantitatively evaluated using Laplacian variance as a measure of image sharpness and clarity. Experimental results demonstrate that Gamma Correction applied to Unsharp Masking and Histogram Equalization significantly enhances image quality, enabling the accurate extraction and recognition of license plate numbers. The proposed approach successfully extracts and recognizes license plate numbers under poor lighting conditions, demonstrating its effectiveness for real-world surveillance applications. |
| format | Article |
| id | doaj-art-a9baaa4c55e14d91a940d2fea68a1d49 |
| institution | Matheson Library |
| issn | 1220-1758 1841-4303 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | ICI Publishing House |
| record_format | Article |
| series | Revista Română de Informatică și Automatică |
| spelling | doaj-art-a9baaa4c55e14d91a940d2fea68a1d492025-07-03T05:54:55ZengICI Publishing HouseRevista Română de Informatică și Automatică1220-17581841-43032025-06-01352879810.33436/v35i2y202507Improving low-light image quality for object detection and license plate recognitionRishab SRIDHAR0 Rohith Arumugam SURESH1 Shreejith BABU2Priyadharsini RAVISANKAR3Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, IndiaDepartment of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, IndiaDepartment of Artificial Intelligence and Data Science, Rajalakshmi Engineering College, Chennai, Tamil Nadu, IndiaEnhancing low-light image quality is crucial for object detection and license plate recognition in surveillance and security applications. Poor illumination degrades image clarity, making accurate recognition difficult. This paper investigates a combination of image enhancement techniques—including Unsharp Masking, Gamma Correction, Gaussian Blur, and Histogram Equalization—to improve visibility and recognition accuracy in low-light conditions. The performance of these methods is quantitatively evaluated using Laplacian variance as a measure of image sharpness and clarity. Experimental results demonstrate that Gamma Correction applied to Unsharp Masking and Histogram Equalization significantly enhances image quality, enabling the accurate extraction and recognition of license plate numbers. The proposed approach successfully extracts and recognizes license plate numbers under poor lighting conditions, demonstrating its effectiveness for real-world surveillance applications. https://rria.ici.ro/documents/1373/art._Sridhar_Suresh_Babu_Ravisankar.pdfhistogram equalizationlicense plate recognitionlow-light image enhancementobject detectionsurveillance systemsunsharp masking |
| spellingShingle | Rishab SRIDHAR Rohith Arumugam SURESH Shreejith BABU Priyadharsini RAVISANKAR Improving low-light image quality for object detection and license plate recognition Revista Română de Informatică și Automatică histogram equalization license plate recognition low-light image enhancement object detection surveillance systems unsharp masking |
| title | Improving low-light image quality for object detection and license plate recognition |
| title_full | Improving low-light image quality for object detection and license plate recognition |
| title_fullStr | Improving low-light image quality for object detection and license plate recognition |
| title_full_unstemmed | Improving low-light image quality for object detection and license plate recognition |
| title_short | Improving low-light image quality for object detection and license plate recognition |
| title_sort | improving low light image quality for object detection and license plate recognition |
| topic | histogram equalization license plate recognition low-light image enhancement object detection surveillance systems unsharp masking |
| url | https://rria.ici.ro/documents/1373/art._Sridhar_Suresh_Babu_Ravisankar.pdf |
| work_keys_str_mv | AT rishabsridhar improvinglowlightimagequalityforobjectdetectionandlicenseplaterecognition AT rohitharumugamsuresh improvinglowlightimagequalityforobjectdetectionandlicenseplaterecognition AT shreejithbabu improvinglowlightimagequalityforobjectdetectionandlicenseplaterecognition AT priyadharsiniravisankar improvinglowlightimagequalityforobjectdetectionandlicenseplaterecognition |