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Single-image Dehazing Using Extreme Reflectance Channel Prior
2021
IEEE Access
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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
2022
International Journal for Research in Applied Science and Engineering Technology
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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]
2014
Pacific Conference on Computer Graphics and Applications
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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
2021
Applied Sciences
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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
2019
International Journal of Computer and Electrical Engineering
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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
2017
IET Image Processing
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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
2019
International Journal of Advanced Computer Science and Applications
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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]
2022
arXiv
pre-print
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In this paper, we provide a comprehensive survey on supervised, semi-supervised, and unsupervised dehazing. ...
A collection of useful dehazing materials is available at https://github.com/Xiaofeng-life/AwesomeDehazing. ...
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
2017
Final program and proceedings (Color and Imaging Conference)
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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
2021
Information Technology and Control
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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]
2015
Lecture Notes in Computer Science
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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
2017
Sadhana (Bangalore)
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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
2018
Frontiers in Robotics and AI
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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
2014
International Journal of Hybrid Information Technology
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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
2017
International Journal of Image Graphics and Signal Processing
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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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