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Image Dehazing Based on Haziness Analysis
2014
International Journal of Automation and Computing
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We present two haze removal algorithms for single image based on haziness analysis. One algorithm regards haze as the veil layer, and the other takes haze as the transmission. ...
On the top of haze removal, several applications of the haze transmission including image refocusing, haze simulation, relighting and 2-dimensional (2D) to 3-dimensional (3D) stereoscopic conversion are ...
Kaiming He for providing their haze removal images. The authors would like to thank the reviewers and the editors for their valuable comments. ...
doi:10.1007/s11633-014-0768-7
fatcat:3smoxj5y5naxlmgmq25h27erlu
Single Image Dehazing: An Analysis on Generative Adversarial Network
2020
Journal of Computer and Communications
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But it is unclear how these algorithms would perform on hazy images acquired "in the wild" and how we could gauge the progress in the field. ...
To bridge this gap, this presents a comprehensive study on three single image dehazing state-of-the-art GAN models, such as AOD-Net, cGAN, and DHSGAN. ...
Image dehazing is a preprocessing technique that generates dehazed images purified from corresponding hazy ones, captured in bad weather. ...
doi:10.4236/jcc.2020.84010
fatcat:dhfj6wdzbvh43nezknbwkhdkye
Experimental Analysis of Image Dehazing Algorithms for Pelletization Process Images
2020
ISIJ International
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We also thank Kaiming He, Jin-Hwan Kim, Dana Berman, GaoFeng Meng and Boyi Li for providing source code of their dehazing algorithms in Internet. ...
Based on our experiments and comprehensive analysis, we would recommend NLD and BCCR dehazing methods because they behave principally better than other three dehazing methods in dealing with pellet images ...
Moreover, most hazy images in these datasets are synthetic images generated from haze-free images based on Eq. (1). ...
doi:10.2355/isijinternational.isijint-2020-295
fatcat:t43zxgaeing75fuwtkhfyqxuvq
Unsupervised water scene dehazing network using multiple scattering model
2021
PLoS ONE
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the effect of multiple scattering on the image. ...
Through extensive experiments on synthetic and real-world images, the proposed method is able to recover the details, structure and texture of the water image better than five advanced dehazing methods ...
Based on this observation, it performs dehazing processing on the input hazy image. ...
doi:10.1371/journal.pone.0253214
pmid:34181688
pmcid:PMC8238221
fatcat:3osk4bzal5gadacymqw7sgpuou
Analysis of Recent Trends in Single Image Dehazing Techniques
[chapter]
2022
Artificial Intelligence and Communication Technologies
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This paper also presents the outcomes of the DCP, CAP, MLP, DehazeNet, and PMS-Net dehazing methods by assessing the resultant dehazed image visually by qualitative analysis and by calculating the MSE, ...
Hence to get a clear image the dehazing technique is essential and the dehazing technique is also important since it is used for various applications like urban transportation, video analysis, visual surveillance ...
Initially in this method, based on the relative smoothness of the nighttime hazy image, it is divided into a glow and glow-free nighttime hazy image. ...
doi:10.52458/978-81-955020-5-9-11
fatcat:427oufuisra2raqxqqvagwy7ei
High-Resolution Representations Network for Single Image Dehazing
2022
Sensors
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To address these problems, we propose an image dehazing network based on the high-resolution network, called DeHRNet. The high-resolution network originally used for human pose estimation. ...
The final experimental results show that DeHRNet achieves superior performance over existing dehazing methods in synthesized and natural hazy images. ...
Based on the above analysis, in this paper, we proposed an end-to-end image dehazing network called DeHRNet. ...
doi:10.3390/s22062257
pmid:35336428
pmcid:PMC8949864
fatcat:4fogjwtjc5bzfirgavfkyrpy2e
Image Dehazing Using LiDAR Generated Grayscale Depth Prior
2022
Sensors
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Finally, dehazing is performed based on the atmospheric scattering model through the defined atmospheric light and transmission image. ...
In depth image-based dehazing, the estimation of the scattering coefficient is the most important. ...
Image Dehazing Based on LiDAR Generated Grayscale Depth Prior The structure of the proposed dehazing method is shown in Figure 3 . First, hazy image and point cloud are used as input data. ...
doi:10.3390/s22031199
pmid:35161944
pmcid:PMC8839317
fatcat:xlt7gpsqizdzph5qwbhf22popq
Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze
[article]
2020
arXiv
pre-print
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We evaluate a representative set of state-of-the-art image dehazing methods on this benchmark dataset in terms of standard metrics such as PSNR, SSIM, CIEDE2000, PI and NIQE. ...
Single image dehazing is a challenging and ill-posed problem, despite being widely studied. ...
(five retouched by five experts and one original image before being retouched) per hazy image. • We perform an extensive analysis to evaluate current state-of-the-art dehazing methods over Sun-Haze in ...
arXiv:2008.13377v1
fatcat:xz5dzmujgrhqvk5tytu5u3u7gm
Perceptual evaluation of single image dehazing algorithms
2015
2015 IEEE International Conference on Image Processing (ICIP)
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First, considerable agreement between human subjects on the perceived quality of hazy and dehazed images is observed. Second, not a single dehazing algorithm performs the best for all test images. ...
In this paper, we first build a database that contains 25 hazy images as well as dehazed images created by eight dehazing algorithms. ...
Sample hazy and dehazed images from one image set. ...
doi:10.1109/icip.2015.7351475
dblp:conf/icip/MaLW15
fatcat:py6prwdltzbrlolqz6fc2cts5y
Single image dehazing using generative adversarial networks based on an attention mechanism
2022
IET Image Processing
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Most existing image dehazing methods rely on the solution of the atmospheric scattering model or supervised learning based on paired images. ...
Here, the authors present an unpaired image learning method based on the attention mechanism for single image dehazing problems. ...
Learning-based dehazing methods Because of the strong nonlinear expression ability of deep learning, image dehazing methods based on deep learning are favoured by researchers. ...
doi:10.1049/ipr2.12455
fatcat:rm5tt2yhsjetbewio3bwlbf6we
Does Haze Removal Help CNN-based Image Classification?
[article]
2018
arXiv
pre-print
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When the ground-truth haze-free image is available for a hazy image, quantitative evaluation of image dehazing is usually based on objective metrics, such as Peak Signal-to-Noise Ratio (PSNR) and Structural ...
Hazy images are common in real scenarios and many dehazing methods have been developed to automatically remove the haze from images. ...
Training on Mixed-Level Hazy Images For more comprehensive analysis of dehazing methods, we conduct experiments of training on hazy images with mixed haze levels. ...
arXiv:1810.05716v1
fatcat:2tslmr2l2fd55gejlcw6ljrm6m
Does Haze Removal Help CNN-Based Image Classification?
[chapter]
2018
Lecture Notes in Computer Science
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When the ground-truth haze-free image is available for a hazy image, quantitative evaluation of image dehazing is usually based on objective metrics, such as Peak Signal-to-Noise Ratio (PSNR) and Structural ...
Hazy images are common in real scenarios and many dehazing methods have been developed to automatically remove the haze from images. ...
Training on Mixed-Level Hazy Images For more comprehensive analysis of dehazing methods, we conduct experiments of training on hazy images with mixed haze levels. ...
doi:10.1007/978-3-030-01249-6_42
fatcat:hlz2343yo5bs7ehc3za5ekccb4
Progressive Update Guided Interdependent Networks for Single Image Dehazing
[article]
2022
arXiv
pre-print
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2020 pre-print arXiv:2008.01701v1 fatcat:lft4n7hg55fglhh5m6qk4xtjeq
Our dehazing framework is qualitatively and quantitatively found to outperform the state-of-the-art on synthetic and real-world hazy images of several datasets with varied hazy conditions. ...
Through ablation studies, our iterative dehazing framework is shown to be more effective than the use of conventional LSTM based recurrence, image-to-image mapping and haze model based estimation. ...
dehazing on real-world hazy images. ...
arXiv:2008.01701v2
fatcat:c6xsdy7dkja7fmwjmim54wzmr4
Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction
[article]
2022
arXiv
pre-print
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Meanwhile, the consistency regularization keeps consistent outputs given multi-level hazy images, thus improving the model robustness. ...
To properly address this problem, we propose a novel density-variational learning framework to improve the robustness of the image dehzing model assisted by a variety of negative hazy images, to better ...
The Consistency-Regularized Framework We propose the consistency regularization based on the assumption that a good dehazing model should output very similar or even same dehazed images when fed the same ...
arXiv:2203.15325v1
fatcat:faw7k7khojdnlesqxflmau2f4a
A Unified Variational Model for Single Image Dehazing
2019
IEEE Access
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In this paper, a simple but effective unified variational model for single image dehazing is presented based on the total variation regularization. ...
The experiments on various simulated and real-world hazy images indicate that the proposed algorithm can yield considerably promising results comparative to several state-of-the-art dehazing and enhancement ...
Meanwhile, the related dehazing methods based on these derived physical models also can enhance the quality of hazy image to some extent. ...
doi:10.1109/access.2019.2894525
fatcat:u4swa4zrabfozboc4y47idwo6q
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