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CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing
[article]
2020
arXiv
pre-print
Preserved Fulltext
Image haze removal is highly desired for the application of computer vision. This paper proposes a novel Context Guided Generative Adversarial Network (CGGAN) for single image dehazing. ...
The context-extraction net is a multi-scale parallel pyramid decoder, and is used for extracting the deep features of the encoder and generating coarse dehazing image. ...
To address above mentioned problems, in this paper, we propose a Context Guided GAN (CGGAN) for single image dehazing. ...
arXiv:2005.13884v1
fatcat:eogreqdminabzpb5qdtl3rgf3y
Densely Connected Pyramid Dehazing Network
[article]
2018
arXiv
pre-print
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We propose a new end-to-end single image dehazing method, called Densely Connected Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map, atmospheric light and dehazing all together ...
for dehazing. ...
This is inspired by the use of global context information in classification and segmentation tasks [56, 48, 14] . ...
arXiv:1803.08396v1
fatcat:k6hw6vobdbazbjqw3xzppsjvgy
Densely Connected Pyramid Dehazing Network
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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We propose a new end-to-end single image dehazing method, called Densely Connected Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map, atmospheric light and dehazing all together ...
for dehazing. ...
This is inspired by the use of global context information in classification and segmentation tasks [57, 48, 14] . ...
doi:10.1109/cvpr.2018.00337
dblp:conf/cvpr/0004P18a
fatcat:l2xcthoq7jgaxglzukv3sboqza
Image Dehazing Method of Transmission Line for Unmanned Aerial Vehicle Inspection Based on Densely Connection Pyramid Network
2020
Wireless Communications and Mobile Computing
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The method uses an improved pyramid network for transmittance map calculation and uses an improved U-net network for atmospheric light value calculation. ...
In this paper, the image enhancement technology in haze environment is studied, and an image dehazing method of transmission line based on densely connection pyramid network is proposed. ...
Acknowledgments The authors would like to thank the anonymous reviewers for their helpful insights and suggestions which have substantially improved the content and presentation of this paper. ...
doi:10.1155/2020/8857271
fatcat:d6fwpyyi7bc3vhbeidiocaxz2m
Knowledge Transfer Dehazing Network for NonHomogeneous Dehazing
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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The derived architecture is referred to as the Knowledge Transform Dehaze Network (KTDN), which consists of the teacher network and the dehazing network with identical architecture. ...
Single image dehazing is an ill-posed problem that has recently drawn important attention. It is a challenging image process task, especially in nonhomogeneous scene. ...
The teacher network trained by clear images for image reconstruction to help train the dehazing network. ...
doi:10.1109/cvprw50498.2020.00247
dblp:conf/cvpr/WuLXQM20
fatcat:bh7nxaicsffyvcesfefrtcnca4
A Deep Neural Network for Coarse-to-Fine Image Dehazing with Interleaved Residual Connections and Semi-Supervised Training
2022
IEICE transactions on information and systems
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The dehazing network uses a pyramidal architecture to recover the haze-free scene from a single hazy image in a coarse-to-fine order. ...
In this letter, we propose a deep neural network and semisupervised learning based dehazing algorithm. ...
Dehazing Network The dehazing network G(•) follows a pyramidal architecture. ...
doi:10.1587/transinf.2021edl8052
fatcat:ggai5wn3pfbwpgw6hr6km62jvq
FPD Net: Feature Pyramid DehazeNet
2022
Computer systems science and engineering
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We propose an end-to-end dehazing model based on deep learning (CNN network) and uses the dehazing model re-proposed by AOD-Net based on the atmospheric scattering model for dehazing. ...
Compare to the previously proposed dehazing network, the dehazing model proposed in this paper make use of the FPN network structure in the field of target detection, and uses five feature maps of different ...
The spatial pyramid pooling methods [18] [19] [20] use different proportions to extract information from the context of the picture, thereby reducing the computational complexity. ...
doi:10.32604/csse.2022.018911
fatcat:5y535fzm5vhfhat5qwvktgkdti
FAOD-Net: A Fast AOD-Net for Dehazing Single Image
2020
Mathematical Problems in Engineering
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Moreover, the pyramid pooling module is added in FAOD-Net to aggregate the context information of different regions of the image, thereby improving the ability of the network model to obtain the global ...
In this paper, we present an extremely computation-efficient model called FAOD-Net for dehazing single image. ...
Based on the depthwise separable convolution and pyramid pooling module, we designed an end-to-end image dehazing neural network model with the input as foggy images and the output as clear images. rough ...
doi:10.1155/2020/4945214
fatcat:iy3a6aubjvdz5icd2yjuuftcge
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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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 images for training. ...
After obtaining low-resolution outputs from the network, we utilize the Laplacian pyramid to upscale the output images to the original resolution. ...
Travel grant for this research is provided by Yapı Kredi Technology. ...
doi:10.1109/cvprw.2018.00127
dblp:conf/cvpr/EnginGE18
fatcat:i7a6fjpw2vathntcyuqu6rikuu
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
[article]
2018
arXiv
pre-print
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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 images for training. ...
After obtaining low-resolution outputs from the network, we utilize the Laplacian pyramid to upscale the output images to the original resolution. ...
Travel grant for this research is provided by Yapı Kredi Technology. ...
arXiv:1805.05308v1
fatcat:levrnpyas5bq7fwvvnpotp4ueq
A Novel Approach to Maritime Image Dehazing Based on a Large Kernel Encoder–Decoder Network with Multihead Pyramids
2022
Electronics
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A novel large kernel encoder–decoder network with multihead pyramids (LKEDN-MHP) is proposed to address some maritime image dehazing-related issues. ...
However, images of maritime scenes are usually accompanied by haze, clouds, and other disturbances, which blur the images and diminish the validity of their contents. ...
Conclusions This paper proposes a novel large kernel encoder-decoder network with multihead pyramids (LKEDN-MHP) for maritime image dehazing tasks. ...
doi:10.3390/electronics11203351
fatcat:ldwesiycwjgnnltueuubt2z6gi
Single image dehazing for a variety of haze scenarios using back projected pyramid network
[article]
2020
arXiv
pre-print
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We propose a novel generative adversarial network architecture for this problem, namely back projected pyramid network (BPPNet), that gives good performance for a variety of challenging haze conditions ...
Learning to dehaze single hazy images, especially using a small training dataset is quite challenging. ...
In this manner, the local to global information is directly used for the final image reconstruction. The effect of using pyramid convolution is shown in Fig. 4 . ...
arXiv:2008.06713v1
fatcat:nx5jdgulhrbx3df7z5uaaxrkju
Enhanced densely dehazing network for single image haze removal under railway scenes
2021
Smart and Resilient Transport
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The authors design enhanced dense blocks and fuse them in a pyramid pooling module for visual data's local and global features. ...
Findings The authors have compared dehazed results on real hazy images and railway hazy images of state-of-the-art dehazing networks with the dehazed results in data quality. ...
This idea is inspired in image classification and segmentation tasks for efficient use of global context information. ...
doi:10.1108/srt-12-2020-0029
fatcat:7kcszefyxvdcze4azcoqo4fd7q
Nighttime Dehaze-Enhancement
[article]
2022
arXiv
pre-print
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images. ...
Moreover, we also propose a new network called NDENet (Nighttime Dehaze-Enhancement Network), which jointly performs dehazing and low-light enhancement in an end-to-end manner. ...
We follow a state-of-the-art single image dehazing network, namely, Densely Connected Pyramid Dehazing Network (DCPDN) [14] , for this purpose. ...
arXiv:2210.09962v1
fatcat:iz5uq4ybjvhmnh2lmzahjnxky4
Multi-Scale Adaptive Dehazing Network
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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After that, a multi-scale enhancing module containing two pyramid downsampling blocks is employed to fuse the context features for haze-free images restoration in a coarse-to-fine way. ...
In this paper, we developed an adaptive distillation network to solve the dehaze problem with non-uniform haze, which does not rely on the physical scattering model. ...
used as criteria for evaluating image quality in dehazing. ...
doi:10.1109/cvprw.2019.00257
dblp:conf/cvpr/ChenCQHH19
fatcat:s4jirm5t5raepn5bskkpzpjvca
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