Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : 2017 International Conference on Innovations in Control, Communication and Information Systems (ICICCI), IEEE,
Source : 2017 International Conference on Innovations in Control, Communication and Information Systems (ICICCI), IEEE, Greater Noida, India (2017)
Url : https://ieeexplore.ieee.org/abstract/document/8660851
Keywords : Adaptive equalizers, Adaptive histogram equalization, Atmospheric conditions, atmospheric techniques, Computer vision, Environmental conditions, extended maxima algorithm, feature removal algorithm, Fog, fog/dust/haze, foggy driving, foggy image enhancement, foggy weather contrast image enhancement, Histograms, human vision, image colour analysis, Image Enhancement, image enhancement techniques, image processing techniques, Image restoration, lighting scenarios, mechanical challenges, Object Detection, Object identification, Object recognition, Shadow and highlight enhancement, traffic engineering computing, Transforms, Vehicles
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Computer Science
Year : 2017
Abstract : Clear vision is very important while driving regardless of any environmental conditions or mechanical challenges. To overcome the difficult conditions and external challenges of human vision while driving a vehicle, image processing techniques can be used. This paper mainly deals with the difficult conditions like poor lighting in the roads, difficult lighting scenarios, and atmospheric conditions like fog/dust/haze and smoke. This paper also finds an approach to find the moving objects using the extended maxima algorithm and extraneous feature removal algorithm. This also directs a research towards object detection in foggy driving. In foggy weather contrast image enhancement and identifying the nearby objects is possible with image enhancement techniques. This helps the driver to avoid any accidents due to poor vision and thus to save human lives.
Cite this Research Publication : Dr. Tripty Singh, “Foggy Image Enhancement and Object Identification by Extended Maxima Algorithm”, in 2017 International Conference on Innovations in Control, Communication and Information Systems (ICICCI), Greater Noida, India, 2017.