This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images
(restoration of rich details in hazy image). We focus on the proposed solutions and their …

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 …

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 …

This study proposes a novel unified and unsupervised end-to-end image fusion network,
termed as U2Fusion, which is capable of solving different fusion problems, including multi …

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 …

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 …

The availability of large-scale datasets has helped unleash the true potential of deep
convolutional neural networks (CNNs). However, for the single-image denoising problem …

In this paper, we present a new unsupervised and unified densely connected network for
different types of image fusion tasks, termed as FusionDN. In our method, the densely …

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 …

Hyperspectral images (HSIs) are of crucial importance in order to better understand features
from a large number of spectral channels. Restricted by its inner imaging mechanism, the …