Accurate object detection in the real-world hazy scene is very important to some potential visual task, such as video surveillance, smart city, autonomous driving and so on. This paper focuses on two research problems, which are build a synthetic dataset of analyze effect prior knowledge joint learning model scene. Two frameworks proposed knowledge-guided (KODNet) dehazing (DONet)...

. Abstract In this paper, I propose a No black pixel constraints algorithm. This algorithm to remove the haze and light scattering from underwater images. Light scattering is caused by light incident of object reflected and deflected multiple times by particles present in water before reaching the camera. This the reason for turn lower visibility and color deviation of the image captured by cam...

Despite their remarkable expressibility, convolution neural networks (CNNs) still fall short of delivering satisfactory results on single image dehazing, especially in terms faithful recovery fine texture details. In this paper, we argue that the inadequacy conventional CNN-based dehazing methods can be attributed to fact domain hazy images is too far away from clear images, rendering it diffic...