We propose a new end-to-end single image dehazing method, called Densely Connected
Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map …

This paper proposes an image dehazing model built with a convolutional neural network
(CNN), called All-in-One Dehazing Network (AOD-Net). It is designed based on a re …

In this paper, we present an end-to-end network, called Cycle-Dehaze, for single image
dehazing problem, which does not require pairs of hazy and corresponding ground truth …

The performance of existing image dehazing methods is limited by hand-designed features,
such as the dark channel, color disparity and maximum contrast, with complex fusion …

Single image dehazing has been a challenging problem which aims to recover clear images
from hazy ones. The performance of existing image dehazing methods is limited by hand …

In this paper, we study two challenging and less-touched problems in single image
dehazing, namely, how to make deep learning achieve image dehazing without training on …

In this paper, we study design of deep neural networks for tasks of image restoration. We
propose a novel style of residual connections dubbed" dual residual connection", which …

Haze often limits visibility and reduces contrast in outdoor images. The degradation varies
spatially since it depends on the objects' distances from the camera. This dependency is …

Single image dehazing is a challenging task, for which the domain shift between synthetic
training data and real-world testing images usually leads to degradation of existing methods …

Single image dehazing, which is the process of removing haze from a single input image, is
an important task in computer vision. This task is extremely challenging because it is …