In this paper, we present a simple yet powerful deep neural network for natural image dehazing. The proposed method is designed based on U-Net architecture and made some design changes to make it better. We first use Group Normalization replace Batch solve the problem of insufficient batch size due hardware limitations. Second, introduce FReLU activation into block, which can achieve capturing ...

Poor weather condition such as fog, rain or haze causes problem in getting information from image. As computer vision system extracts features from the scene, it is important that reliable information could be obtained by removing haze. This paper proposes a fast fog removal method which is implementable in hardware for single image. Using pixel-based median channel of haze image, we can estima...