Underwater video images, as the primary carriers of underwater information, play a vital role
in human exploration and development of the ocean. Due to the optical characteristics of …

Cameras are integrated with various underwater vision systems for underwater object
detection and marine biological monitoring. However, underwater images captured by …

In this paper, we propose a Multi-Scale Boosted Dehazing Network with Dense Feature
Fusion based on the U-Net architecture. The proposed method is designed based on two …

Convolutional neural networks (CNNs) have achieved significant success in the single
image dehazing task. Unfortunately, most existing deep dehazing models have high …

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 …

We present a comprehensive study and evaluation of existing single-image dehazing
algorithms, using a new large-scale benchmark consisting of both synthetic and real-world …

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 present an algorithm to directly restore a clear image from a hazy image.
This problem is highly ill-posed and most existing algorithms often use hand-crafted …

Most existing image dehazing methods tend to boost local image contrast for regions with
heavy haze. Without special treatment, these methods may significantly amplify existing …