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Real-time fast low-light vision enhancement for driver during driving at night

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Abstract

Driving at night becomes risky due to the lack of sufficient light. Drivers are unable to notice objects, potholes, pedestrians on road prominently using headlights. Low light at night causes many road accidents and road fatalities. This article presents a real-time fast, low-light vision enhancement technique for drivers. By the proposed technique a driver can have a prominent real-time bright vision of the road and surrounding view at night which appears the same during the daytime. Drivers can easily differentiate objects, potholes, and pedestrians on the road. The proposed approach is based on the modified bright channel prior, and adaptive gamma correction. The proposed approach aims to provide a real-time bright vision for drivers during the night within a minimum computation time using a low-cost 2D camera. Many real-time experiments which are conducted reveal that the proposed approach accomplishes auspiciously against state-of-the-art low-light image enhancement algorithms.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Agartala, Agartala, Tripura, India

    Gouranga Mandal, Diptendu Bhattacharya & Parthasarathi De

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  1. Gouranga Mandal
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  2. Diptendu Bhattacharya
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  3. Parthasarathi De
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Correspondence to Gouranga Mandal.

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Mandal, G., Bhattacharya, D. & De, P. Real-time fast low-light vision enhancement for driver during driving at night. J Ambient Intell Human Comput 13, 789–798 (2022). https://doi.org/10.1007/s12652-021-02930-6

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  • DOI: https://doi.org/10.1007/s12652-021-02930-6

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