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 …

Image dehazing is a representative low-level vision task that estimates latent haze-free
images from hazy images. In recent years, convolutional neural network-based methods …

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 …

Haze-free images are the prerequisites of many vision systems and algorithms, and thus
single image dehazing is of paramount importance in computer vision. In this field, prior …

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 …

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 …

Image dehazing has become an important computational imaging topic in the recent years.
However, due to the lack of ground truth images, the comparison of dehazing methods is not …