An Algorithm for Enhancing and De-hazing Videos

Abstract: Haze removal from video is a composite process as the visual effect of haze are impenetrable. A haze removal method is put forward here which use Koschmiedars law in lack of prior. A boundary restricted smoothing technique is also used here. Image filter guided by weight is used which filters the out-turn based on details contributed by guidance image. A transmission map is determined and is employed to re-impose the haze free video. Power law transformation is used to enhance the quality of the output images.

Keywords: Koschmiedars law, Edge preserving smoothing technique, Image filter guided by weight, Power law transformation.