Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

Image dehazing aims to recover the uncorrupted content from a hazy image. Instead of
leveraging traditional low-level or handcrafted image priors as the restoration constraints …

摘要随着计算机视觉系统的发展及其在军事, 交通以及安全监控等领域的发展,
图像去雾已成为计算机视觉的重要研究方向. 在雾, 霾之类的恶劣天气下采集的图像会由于大气 …

In this paper, we propose an efficient algorithm to directly restore a clear image from a hazy
input. The proposed algorithm hinges on an end-to-end trainable neural network that …

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 …

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 …

Single image dehazing is an ill-posed problem that has recently drawn important attention.
Despite the significant increase in interest shown for dehazing over the past few years, the …

Atmospheric scattering model (ASM) is one of the most widely used model to describe the
imaging processing of hazy images. However, we found that ASM has an intrinsic limitation …