IMPROVED IMAGE-VIDEO DEHAZING

Abstract

Mist and smoke haze is a common weather phenomenon that drop the images’ contrast. This is because vapor and dust particles in the atmosphere make fuzzy to scattering of sunlight. Clear and restore a image taking in the condition of haze were of great value in the military defense and navigation and remote sensing object identification areas. Many computer vision applications can benefit from haze free images. These techniques are physically sound and based on theories from meteorology and other disciplines. Currently Image dehazing has become a hot study in the field of computer vision and digital image processing. This algorithm is based on a strong, statistically based prior, the dark channel prior. Haze, fog, and smoke are such phenomena due to atmospheric absorption and scattering. The irradiance received by the camera from the scene point is attenuated along the line of sight. Furthermore, the incoming light is blended with the airlight (ambient light reflected into the line of sight by atmospheric particles).