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Image Dehazing Based on Haziness Analysis

Fan Guo, Jin Tang, Zi-Xing Cai
2014 International Journal of Automation and Computing  
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

Amina Khatun, Mohammad Reduanul Haque, Rabeya Basri, Mohammad Shorif Uddin
2020 Journal of Computer and Communications  
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

Xin Wu, Xiaoyan Liu, Fei Yuan
2020 ISIJ International  
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

Shunmin An, Xixia Huang, Linling Wang, Zhangjing Zheng, Le Wang, Thippa Reddy Gadekallu
2021 PLoS ONE  
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]

Jenisha C, Sheeba Joice C
2022 Artificial Intelligence and Communication Technologies  
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

Wensheng Han, Hong Zhu, Chenghui Qi, Jingsi Li, Dengyin Zhang
2022 Sensors  
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

Won Young Chung, Sun Young Kim, Chang Ho Kang
2022 Sensors  
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]

Zahra Anvari, Vassilis Athitsos
2020 arXiv   pre-print
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

Kede Ma, Wentao Liu, Zhou Wang
2015 2015 IEEE International Conference on Image Processing (ICIP)  
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

Yongli Ma, Jindong Xu, Fei Jia, Weiqing Yan, Zhaowei Liu, Mengying Ni
2022 IET Image Processing  
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]

Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang
2018 arXiv   pre-print
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]

Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang
2018 Lecture Notes in Computer Science  
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]

Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas
2022 arXiv   pre-print
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]

De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun
2022 arXiv   pre-print
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

Yun Liu, Jinxia Shang, Lei Pan, Anzhi Wang, Minghui Wang
2019 IEEE Access  
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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