In this review paper, we have presented and compared a study of various fog/haze removal algorithms/techniques for image processing. Many algorithms are proposed so far for efficient fog removal. The dark channel prior based fog removal has provided quite promising results over the available techniques. Many researchers have also proposed various improvements in the dark channel prior so far to...

Haze removal from nighttime images is more difficult compared with daytime image dehazing due to the uneven illumination, low contrast and severe color distortion. In this paper, following approaches based on Dark channel prior, we propose a simple yet effective approach using Retinex theory Taylor series expansion for dehazing, referred as ‘RDT’. Existing methods do not handle shift glow very ...