This work reviews the results of the NTIRE 2021 Challenge on Non-Homogeneous
Dehazing. The proposed techniques and their results have been evaluated on a novel …

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 …

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

This study examines the results of the NTIRE 2024 Challenge on Dense and Non-
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …

Image dehazing is an ill-posed problem that has been extensively studied in the recent
years. The objective performance evaluation of the dehazing methods is one of the major …

Haze removal or dehazing is a challenging ill-posed problem that has drawn a significant
attention in the last few years. Despite this growing interest, the scientific community is still …

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 haze removal is a challenging ill-posed problem. Existing methods use
various constraints/priors to get plausible dehazing solutions. The key to achieve haze …

Single image haze removal has been a challenging problem due to its ill-posed nature. In
this paper, we propose a simple but powerful color attenuation prior for haze removal from a …