Analysis of Dehazing Via Reliabilty Guided Fusion and Comparison With Several Image Dehazing Techniques
Image dehazing is very important to improve the image quality, when image is taken in low visibility conditions
like fog, dust, and haze. Bad weather images have poor color and contrast information, and thus contents of the scene can be
lost, which may cause problems in smart and autonomous systems. Now-a-days Advanced Driver Assistance Systems
(ADAS) are also dependent on image and video information under different weather conditions. Several different image
dehazing techniques have been presented in last few years and dehzaing performance has been increased subsequently, and a
thorough comparison of these techniques is an important issue. This paper presents a comparative study of haze removal for
five methods in terms of performance and efficiency.
Keywords- Dehazing, Transmission Map, Dark Channel Prior, Pixel Intensity.