Foggy Image Enhancement and Object Identification by Extended Maxima Algorithm
Tripty Singh · 2017
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.