Ntire 2020 challenge on nonhomogeneous dehazing
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 …
(restoration of rich details in hazy image). We focus on the proposed solutions and their …
[PDF][PDF] NTIRE 2021 nonhomogeneous dehazing challenge report
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 …
Dehazing. The proposed techniques and their results have been evaluated on a novel …
NTIRE 2024 dense and non-homogeneous dehazing challenge report
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 …
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …
Real-world underwater enhancement: Challenges, benchmarks, and solutions under natural light
R Liu, X Fan, M Zhu, M Hou… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Underwater image enhancement is such an important low-level vision task with many
applications that numerous algorithms have been proposed in recent years. These …
applications that numerous algorithms have been proposed in recent years. These …
Learning to optimize: A primer and a benchmark
Learning to optimize (L2O) is an emerging approach that leverages machine learning to
develop optimization methods, aiming at reducing the laborious iterations of hand …
develop optimization methods, aiming at reducing the laborious iterations of hand …
Deep plug-and-play super-resolution for arbitrary blur kernels
While deep neural networks (DNN) based single image super-resolution (SISR) methods
are rapidly gaining popularity, they are mainly designed for the widely-used bicubic …
are rapidly gaining popularity, they are mainly designed for the widely-used bicubic …
LR3M: Robust low-light enhancement via low-rank regularized retinex model
Noise causes unpleasant visual effects in low-light image/video enhancement. In this paper,
we aim to make the enhancement model and method aware of noise in the whole process …
we aim to make the enhancement model and method aware of noise in the whole process …
Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images
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 …
Despite the significant increase in interest shown for dehazing over the past few years, the …
Underwater image enhancement with global–local networks and compressed-histogram equalization
Due to the light absorption and scattering, captured underwater images usually contain
severe color distortion and contrast reduction. To address the above problems, we combine …
severe color distortion and contrast reduction. To address the above problems, we combine …
Learning deep context-sensitive decomposition for low-light image enhancement
Enhancing the quality of low-light (LOL) images plays a very important role in many image
processing and multimedia applications. In recent years, a variety of deep learning …
processing and multimedia applications. In recent years, a variety of deep learning …