Single-image dehazing - Open Access .click

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Refining Transmission Map and Air Light for Efficient Single Image Dehazing

IEEE Access
Many dehazing methods have been presented by many researchers either on single hazy images or multiple images like videos. Single image dehazing is a very challenging problem, since there is no ground truth image and/or depth map. Beyond many traditional
Yucel Cimtay, Gokce Nur Yilmaz
doaj +1 more source

Image Dehazing Using Residual-Based Deep CNN

IEEE Access, 2018
There is a series of image degradation in the image acquired in haze and other weather. The single image dehazing is a challenging and ill-posed problem.
Jinjiang Li, Guihui Li, Hui Fan
doaj +1 more source

Depth-Guided Bilateral Grid Feature Fusion Network for Dehazing

Sensors
In adverse foggy weather conditions, images captured are adversely affected by natural environmental factors, resulting in reduced image contrast and diminished visibility.
Xinyu Li +7 more
doaj +1 more source

Multi-Scale Attention Feature Enhancement Network for Single Image Dehazing. [PDF]

Sensors (Basel), 2023
Dong W, Wang C, Sun H, Teng Y, Xu X.
europepmc +1 more source

Online knowledge distillation network for single image dehazing. [PDF]

Sci Rep, 2022
Lan Y +7 more
europepmc +1 more source

Transformer-based progressive residual network for single image dehazing. [PDF]

Front Neurorobot, 2022
Yang Z, Li X, Li J.
europepmc +1 more source

Physical-model guided self-distillation network for single image dehazing. [PDF]

Front Neurorobot, 2022
Lan Y, Cui Z, Su Y, Wang N, Li A, Han D.
europepmc +1 more source

Single Image Dehazing Using Global Illumination Compensation. [PDF]

Sensors (Basel), 2022
Zheng J, Xu C, Zhang W, Yang X.
europepmc +1 more source

Feature attention gated context aggregation network for single image dehazing and its application on unmanned aerial vehicle images

IET Cyber-Physical Systems
Single‐image dehazing is a highly challenging ill‐posed task in the field of computer vision. To address this, a new image dehazing model with feature attention, named feature attention gated context aggregation network (FAGCA‐Net), is proposed to tackle
Yongquan Wu +4 more
doaj +1 more source

Residual Spatial and Channel Attention Networks for Single Image Dehazing. [PDF]

Sensors (Basel), 2021
Jiang X, Zhao C, Zhu M, Hao Z, Gao W.
europepmc +1 more source

image dehazing
deep learning
single image dehazing

convolutional neural network
dark channel prior
image enhancement

haze density
dehaze