Motion blur is a common photography artifact in dynamic environments that typically comes
jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on …

This paper reviews the first challenge on high-dynamic range (HDR) imaging that was part
of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in …

Considering the ill-posed nature, contrastive regularization has been developed for single
image dehazing, introducing the information from negative images as a lower bound …

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 …

In the real world, the degradation of images taken under haze can be quite complex, where
the spatial distribution of haze varies from image to image. Recent methods adopt deep …

The presence of non-homogeneous haze can cause scene blurring, color distortion, low
contrast, and other degradations that obscure texture details. Existing homogeneous …

Image dehazing is a challenging task in computer vision. Currently, most dehazing methods
adopt the U-Net architecture that directly fuses the decoding layer with the corresponding …

Hazy images are often subject to color distortion, blurring, and other visible quality
degradation. Some existing CNN-based methods have great performance on removing …

This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment
(IQA), held in conjunction with the New Trends in Image Restoration and Enhancement …

Recently, there has been rapid and significant progress on image dehazing. Many deep
learning based methods have shown their superb performance in handling homogeneous …