A SURVEY OF HAZE REMOVAL TECHNIQUES FOR IMAGE PROCESSING
Sanjay K. Tupe, Vishal B. Raskar · International journal of advance research and innovative ideas in education · 2017
One of the key issues within the space of image process is that the restoration of the images those are corrupted as a result of numerous degradations. Images of outside scenes taken during a bad weather conditions comprises of atmospherical degradation. As the light travels from the scene point towards observer, it is scattered and absorbed by particles in space like haze and fog. Attributable to the presence of those atmospherical particles there's a resultant degradation within the color and distinction within the captured image within the bad weather conditions. This causes difficulty in detecting the objects of images. During current days attributable to the recent development of the machine vision area, it's doable to enhance the outside hazy pictures and take away the haze from the images. Images captured in foggy climatic conditions usually has poor visibility, this can produce plenty of impacts on the outside computer vision systems, like video police work, intelligent transportation help system, and remote sensing house cameras then on. In this review paper, we've given and compared a study of varied fog/haze removal algorithms/techniques for image processing. The clear objective of this paper is to explore the pitfalls of the techniques utilized in the revolutionary era of image processing applications.