The key to the depth estimation from a single image lies in inferring distance of various objects without copying texture while maintaining clear object boundaries. In this paper, we propose using edge extraction network and dark channel prior (DCP). We build an based on generative adversarial networks (GANs) select valid edges number image. use DCP generate transmission map that is able repres...

Single image dehazing is challenging because it is massively ill-posed. Haze removal based on dark channel prior is effective, but refining the transmission map with closed-form matting is computationally expensive. Recent work discovered that using guided filter to refine the transmission map is feasible. In this paper, we elaborate single image dehazing by combining dark channel prior and gui...

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...

The main reason for the degradation of underwater image is light absorption and scattering. images are captured in environment often have some problems such as loss information, low contrast, color distortion. In order to solve above problems, this paper proposes an enhancement method environment. With help imaging model dark channel prior theory, a new idea adding transmission correction compe...