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Fog Removal Algorithms for Real-Time Video Footage in Smart Cities for Safe Driving
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Author(s): Neetu Sood (Dr. B. R. Ambedkar National Institute of Technology, India), Indu Saini (Dr. B. R. Ambedkar National Institute of Technology, India), Tarannum Awasthi (Dr. B. R. Ambedkar National Institute of Technology, India), Milin Kaur Saini (Dr. B. R. Ambedkar National Institute of Technology, India), Parul Bhoriwal (Dr. B. R. Ambedkar National Institute of Technology, India)and Tanveer Kaur (Dr. B. R. Ambedkar National Institute of Technology, India)
Copyright: 2019
Pages: 32
Source title:
Driving the Development, Management, and Sustainability of Cognitive Cities
Source Author(s)/Editor(s): Kiran Ahuja (DAV Institute of Engineering and Technology, India)and Arun Khosla (Dr. B.R. Ambedkar National Institute of Technology, India)
DOI: 10.4018/978-1-5225-8085-0.ch003
PurchaseView on the publisher's website for pricing and purchasing information.
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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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