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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Real-time Night Visibility Enhancement Algorithm Using the Similarity of Inverted Night Image and Fog Image
verfasst von : Jae-Won Lee, Bae-Ho Lee, Yongkwan Won, Cheol-Hong Kim, Sung-Hoon Hong
Erschienen in: Information Science and Applications
Verlag: Springer Berlin Heidelberg
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In this paper, we propose improved night visibility enhancement algorithm based on haze removal method. The proposed method use new haze removal method in place of the conventional method. This de-haze method is very good and faster than traditional method. It also uses a further Contrast Limit Adaptive Histogram Equalization (CLAHE) for sharpening the image. The proposed method can be applied to any application that uses a visible light camera, and it is appropriate to apply a black box, vehicle camera, and cell phone camera, since it is possible that real-time processing.