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Single-image Dehazing Using Extreme Reflectance Channel Prior

Yutong Zhang, Kun Gao, Junwei Wang, XiaoDian Zhang, Hong Wang, Zizheng Hua, Qiong Wu
2021 IEEE Access  
Polarization-based dehazing algorithms utilize at least two images, taken through a polarizer at different orientations, to estimate a transmission map.  ...  PIQE is the blind image quality evaluation using perception based features.  ... 
doi:10.1109/access.2021.3090202 fatcat:xx7bd2mokreebozykv2deijqra

Image Dehazing from Repeated Averaging Filters with Artificial Neural Network

Vinaya Kumar, Madhu Lata Nirmal
2022 International Journal for Research in Applied Science and Engineering Technology  
The problem of halo artefacts in the final output image after dehazing plagues existing dehazing algorithms.  ...  This paper presents a method for measuring ambient light from a single foggy image using Repeated Averaging Filters, which adds to greater radiance recovery.  ...  As it is correlated to human visual perception, SSIM has become a universal quality metric for image and video applications for quantitative analysis.  ... 
doi:10.22214/ijraset.2022.40484 fatcat:wyv7cnd2kbepfal47bf3ppc4dm

Example-based Haze Removal with two-layer Gaussian Process Regressions [article]

Xin Fan, Renjie Gao, Yi Wang
2014 Pacific Conference on Computer Graphics and Applications  
However, these priors from observations can provide limited information for the restoration of high quality, and the assumptions are not always true for generic images in practice.  ...  By using training examples, the two-layer GPRs establish direct relationships from the input image to the depth-dependent transmission, and meanwhile learn local image priors to further improve the estimation  ...  The author would like to thank the anonymous reviewers of this paper for many valuable comments that helped improve the quality of this paper.  ... 
doi:10.2312/pgs.20141260 dblp:conf/pg/FanGW14 fatcat:a56lla4fubbcfne3ot6snz4ze4

Haze Removal Based on Refined Transmission Map for Aerial Image Matching

Yogendra Rao Musunuri, Oh-Seol Kwon
2021 Applied Sciences  
The DCP was used to estimate the transmission map based on patch-based processing, which also results in image blurring.  ...  Therefore, the proposed algorithm estimates a refined transmission map that can reduce the block artifacts and improve the image clarity without explicit guided filters.  ...  Thus, a low score indicates good perceptual quality, and a high score indicates poor perceptual quality.  ... 
doi:10.3390/app11156917 fatcat:45aojprgwva2znjj7fs2yvfyyy

A Concise Review on Image Dehazing Techniques

Prince Owusu-Agyeman, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China, Wei Xie, Yeboah Yao
2019 International Journal of Computer and Electrical Engineering  
Key words: Image dehazing, image enhancement, physical models, quality assessment. (1) From (1) I represent the observed intensity of the haze image, J indicates the scene radiance, A indicates the global  ...  In this paper, we present a concise review of the current image dehazing methods.  ...  However, the algorithm has performance limitation for images with highly dense haze images, since the quality of the image depends on input image.  ... 
doi:10.17706/ijcee.2019.11.3.118-132 fatcat:wt3asfpry5fnfe2d6lguq6uvne

Single image dehazing by latent region-segmentation based transmission estimation and weighted L 1-norm regularisation

Tong Cui, Jiandong Tian, Ende Wang, Yandong Tang
2017 IET Image Processing  
In this study, a single image dehazing method is proposed.  ...  The authors estimate the initial transmission properly based on latent region-segmentation and refine the estimated initial transmission by an objective function with a novel weighted L 1 -norm regularisation  ...  Transmission estimation Transmission estimation is a significant procedure in dehazing. The effect of dehazing mainly depends on the accuracy of transmission estimation.  ... 
doi:10.1049/iet-ipr.2016.0377 fatcat:a66pq3hzc5fuhgmskpfz7j2r2u

A New Method to Find Image Recovery

Nouf Saeed Alotaibi
2019 International Journal of Advanced Computer Science and Applications  
In addition, L0-gradient minimization of image smoothing was studied in combination with H Kosmedier Image Formation Physical System to solve the dehazing issue as L0 smoothing approximates better results  ...  Although the medium transmission in distant artifacts is small, it is vulnerable to amplification of the noise.  ...  Full Reference Image Quality Metric High Entropy Energy (Intensity) of the pixels No Reference Image Quality Metric High NIQE Naturalness Image Quality Evaluator No Reference Image Quality  ... 
doi:10.14569/ijacsa.2019.0101273 fatcat:zzxz4ngx3fdafet3sj6jwktbc4

A Comprehensive Survey and Taxonomy on Image Dehazing Based on Deep Learning [article]

Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao
2022 arXiv   pre-print
In this paper, we provide a comprehensive survey on supervised, semi-supervised, and unsupervised dehazing.  ...  A collection of useful dehazing materials is available at  ...  S2DNet [49] proves that high-quality depth estimation algorithms can help the dehazing task.  ... 
arXiv:2106.03323v3 fatcat:pw5u5o4mljgovkovj7uhwbiwk4

An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing

Vincent Whannou de Dravo, Jessica El Khoury, Jean Baptiste Thomas, Alamin Mansouri, Jon Yngve Hardeberg
2017 Final program and proceedings (Color and Imaging Conference)  
This is the case for the popular dehazing method Dark Channel Prior.  ...  Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold.  ...  This is positively rated for images with light haze and foreground areas where this method keeps a natural perception of the dehazed scene.  ... 
doi:10.2352/j.imagingsci.technol.2017.61.4.040408 fatcat:webo55n5cvhdvdx5kkk7zabeki

Visibility Restoration Using Generalized Haze-Lines

Samia Riaz, Muhammad Waqas Anwar, Irfan Riaz, Yunyoung Nam, Muhammad Attique Khan Khan
2021 Information Technology and Control  
This work generalizes the concept of haze-lines, and presents an algorithm to estimate transmission map and restore scene radiance accurately.  ...  Transmission map represents percentage of scene radiance captured by the camera and is unknown for every pixel.  ...  estimation for pixel located at x, 2) initial transmission map, and 3) refined transmission map Algorithm 1 : 1 Algorithm 5 Grow kd-tree using generalized haze-line orientation vector ˆk v . 6 for  ... 
doi:10.5755/j01.itc.50.1.27900 fatcat:bdw6xzsu35egxiqw5voj4scy54

A Variational Framework for Single Image Dehazing [chapter]

Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
2015 Lecture Notes in Computer Science  
We propose to extend a well-known perception-inspired variational framework [1] for the task of single image dehazing.  ...  The main modification consists on the replacement of the value used by this framework for the grey-world hypothesis by an estimation of the mean of the clean image.  ...  high-quality results.  ... 
doi:10.1007/978-3-319-16199-0_18 fatcat:nzv42pjcwbdjnmz4alv6wjrfl4

Visible and NIR image fusion using weight-map-guided Laplacian–Gaussian pyramid for improving scene visibility

Ashish V Vanmali, Vikram M Gadre
2017 Sadhana (Bangalore)  
Image dehazing using either single visible image or visible and near-infrared (NIR) image pair is often considered as a solution to improve the visual quality of such scenes.  ...  The algorithm proves to be efficient not only for the outdoor scenes with or without haze, but also for the indoor scenes in improving scene visibility.  ...  These features of NIR images become handy to cater to dehazing problem. The pair of visible-NIR images is used by some researchers [15] to estimate airlight and transmission.  ... 
doi:10.1007/s12046-017-0673-1 fatcat:slf5qw7o2baepnlwsxysxhkc2u

Impact of Dehazing on Underwater Marker Detection for Augmented Reality

Marek Žuži, Jan Čejka, Fabio Bruno, Dimitrios Skarlatos, Fotis Liarokapis
2018 Frontiers in Robotics and AI  
Dehazing methods are used in many areas to improve the quality of digital image data that is degraded by the influence of the environment.  ...  This paper describes the visibility conditions affecting underwater scenes and shows existing dehazing techniques that successfully improve the quality of underwater images.  ...  This paper examines how dehazing can be used to improve the quality of underwater marker-based tracking for AR.  ... 
doi:10.3389/frobt.2018.00092 pmid:33500971 pmcid:PMC7805651 fatcat:3f676ln5bng4fkvtqktvc7ge3a

A Hybrid Approach for Dehazing Images

Aditi, Shailender Gupta, Mansi Dua
2014 International Journal of Hybrid Information Technology  
For this purpose it requires usage of soft matting technique that causes halo effect and has high time complexity.  ...  Though this method estimates airlight to quite good an extent but at the same time uses multiple images therefore, cannot be applied on dynamic scenes. In addition, it has very high time complexity.  ...  In addition, it is also found that the time complexity of this process is high, mainly due to the use of multiple images for estimation of transmission map.  ... 
doi:10.14257/ijhit.2014.7.3.20 fatcat:mtqgkuq4ijbnfg3waku5qeszs4

A Review of Image Restoration based Image Defogging Algorithms

Bindu Bansal, Jagroop Singh Sidhu, Kiran Jyoti
2017 International Journal of Image Graphics and Signal Processing  
Finally, we summarized image quality assessment methods followed by their comparisons of various image defogging algorithms. Problems of image dehazing and future scope have been discussed thereafter.  ...  Haze and fog lead to image degradation by various degradation processes like image contrast, image blurring and pixel distortion.  ...  High-quality images are need of the hour as the many visual application systems like video surveillance, remote sensing; navigation, target identification are built from clear and high-quality images.  ... 
doi:10.5815/ijigsp.2017.11.07 fatcat:o2yydvasrzfxbovnz57aj5w4ya
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