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Fog Removal Algorithms for Real-Time Video Footage in Smart Cities for Safe Driving

Fog Removal Algorithms for Real-Time Video Footage in Smart Cities for Safe Driving

Neetu Sood, Indu Saini, Tarannum Awasthi, Milin Kaur Saini, Parul Bhoriwal, Tanveer Kaur
Copyright: © 2019 |Pages: 32
ISBN13: 9781522580850|ISBN10: 1522580859|ISBN13 Softcover: 9781522593447|EISBN13: 9781522580867
DOI: 10.4018/978-1-5225-8085-0.ch003
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MLA

Sood, Neetu, et al. "Fog Removal Algorithms for Real-Time Video Footage in Smart Cities for Safe Driving." Driving the Development, Management, and Sustainability of Cognitive Cities, edited by Kiran Ahuja and Arun Khosla, IGI Global, 2019, pp. 55-86. https://doi.org/10.4018/978-1-5225-8085-0.ch003

APA

Sood, N., Saini, I., Awasthi, T., Saini, M. K., Bhoriwal, P., & Kaur, T. (2019). Fog Removal Algorithms for Real-Time Video Footage in Smart Cities for Safe Driving. In K. Ahuja & A. Khosla (Eds.), Driving the Development, Management, and Sustainability of Cognitive Cities (pp. 55-86). IGI Global. https://doi.org/10.4018/978-1-5225-8085-0.ch003

Chicago

Sood, Neetu, et al. "Fog Removal Algorithms for Real-Time Video Footage in Smart Cities for Safe Driving." In Driving the Development, Management, and Sustainability of Cognitive Cities, edited by Kiran Ahuja and Arun Khosla, 55-86. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8085-0.ch003

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Abstract

In this chapter, different approaches are presented for removal of fog from video footage taken in moving cars. The methodology uses different approaches, namely dark channel prior, contrast limited adaptive histogram equalization (CLAHE), the combination of two approaches (dark channel prior and CLAHE), and RETINEX algorithm combined with DWT. The algorithms are implemented in MATLAB R2015a. Moreover, the algorithms are compared based on their computational complexity and a visibility metric which is used for computing the CNR of video frames before and after the application of the algorithm. The chapter discusses which algorithm would provide better performance during night fog and daylight fog. Finally, the safe speed of the driver is calculated based on the time complexity of the algorithm used.

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