5 citations · 5 across the 1 of their papers we have counts for
3 papers
eess.IV2021★ 5 cited
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning
Yankun Yu, Huan Liu, Minghan Fu +3
Recently, there has been rapid and significant progress on image dehazing. Many deep learning based methods have shown their superb performance in handling homogeneous dehazing pro…
eess.IV2021
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing
Minghan Fu, Huan Liu, Yankun Yu +2
Hazy images are often subject to color distortion, blurring, and other visible quality degradation. Some existing CNN-based methods have great performance on removing homogeneous h…
cs.CV2018
Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing
Zheng Liu, Botao Xiao, Muhammad Alrabeiah +2
Haze and smog are among the most common environmental factors impacting image quality and, therefore, image analysis. This paper proposes an end-to-end generative method for image…