In this paper, we propose a specular highlight image enhancement algorithm based on dark channel prior to solve the problem of information loss in images real scenes. First, is algorithm, and moving window minimum filter used estimate global illumination component. Then, weighted function local pixel color difference introduced halo artifacts image. improved guided optimize transmittance, which...

Haze level evaluation is highly desired in outdoor scene monitoring applications. However, there are relatively few approaches available this area. In paper, a novel haze strategy for real-world scenes presented. The idea inspired by the utilization of dark and bright channel prior (DBCP) removal. change between hazy haze-free channels could serve as indicator, we have named it DBCP-I. variatio...

We introduce an improved single image haze removal algorithm, which combines dark channel prior (DCP) and histogram specification. First, the dark channel prior knowledge proposed by Kaiming He is analyzed and a conclusion is drawn that the haze removal image based on dark channel prior will have a tendency to dim and indistinct in some specific situations. Especially, when cleaning the haze in...