Dehazing technique based on dark channel prior model with sky masking and its quantitative analysis

Abstract

Outdoor image and video corrupt easily owing to fog, mist etc. Several techniques have been proposed to overcome these problems. But there is no optimum method as these scenarios are unpredictable and all situations are unique in their own way. Dark channel prior - a new prior-gives a significant prediction about the quantity of airlight that causes haze. Dark channel with contrast controller and sky masking improves the visibility with significantly reduced time. In this paper a innovative technique has been studied and it's qualitative and quantitative analysis carried out.