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Day and Night-Time Dehazing by Local Airlight Estimation
2020
IEEE Transactions on Image Processing
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Local airlight estimation is adopted because, under night-time conditions, the lighting generally arises from multiple localized artificial sources, and is thus intrinsically non-uniform. ...
When inverting the Koschmieder light transmission model, and by contrast with the common implementation of the popular dark-channel DehazeHeCVPR2009, we estimate the airlight on image patches and not on ...
A different way of local airlight estimation has been employed by Berman et al. [5] , but only for day-time dehazing. However, as can be seen in Fig 1, the method of Berman et al. ...
doi:10.1109/tip.2020.2988203
pmid:32340946
fatcat:tqstl4csdncgzmcu4suofg5ope
Single image dehazing based on contrast enhancement
2011
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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First, the proposed algorithm estimates the airlight in a given hazy image based on the quad-tree subdivision. ...
Index Terms-Image enhancement, image restoration, contrast enhancement, and single image dehazing. ...
Fig. 3 . 3 Estimation of space-varying transmission for the local dehazing algorithm.
Fig. 4 .Fig. 5 . 45 Comparison of the proposed algorithm and the conventional algorithms on a test image. ...
doi:10.1109/icassp.2011.5946643
dblp:conf/icassp/KimSK11
fatcat:66f5lt3gjvcc7jllifclcbobju
Near-infrared guided color image dehazing
2013
2013 IEEE International Conference on Image Processing
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In this paper, we propose an improved image dehazing scheme using a pair of color and NIR images, which effectively estimates the airlight color and transfers details from the NIR. ...
A two-stage dehazing method is proposed by exploiting the dissimilarity between RGB and NIR for airlight color estimation, followed by a dehazing procedure through an optimization framework. ...
One of our key innovations is to use NIR to help finding such a good local patch for the airlight color estimation. ...
doi:10.1109/icip.2013.6738487
dblp:conf/icip/FengZZSS13
fatcat:oyxtllsejjej3jw2wbz73uzbja
Initial results in underwater single image dehazing
2010
OCEANS 2010 MTS/IEEE SEATTLE
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In this paper we present an algorithm for removing the effects of light scattering, referred to as dehazing, in underwater images. ...
We then use this estimate to reduce the spatially varying effect of haze in the image. ...
Therefore, an accurate estimate of the scene depth can be used to dehaze an image, assuming for now that the airlight is known. ...
doi:10.1109/oceans.2010.5664428
fatcat:c45vkctq2bcavn3f6q7emazppe
IMAGE DEHAZING BASED ON MULTISPECTRAL POLARIZATION IMAGING METHOD IN DIFFERENT DETECTION MODES
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Therefore, how to effectively remove the influence of haze and improve image quality has been a hot issue. A polarization spectral image dehazing method is proposed here. ...
Secondly, the airlight polarization model was utilized to estimate the airlight radiance at an infinite distance and the degree of polarization of the airlight. ...
model without the need for any local area in the image. ...
doi:10.5194/isprs-archives-xliii-b1-2020-615-2020
fatcat:7ry5eihv2jbadanybvqxynilra
SINGLE IMAGE DEHAZING USING AIR LIGHT REFINEMENT
2019
International Journal of Recent Trends in Engineering and Research
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Single image haze removal is important for many practical applications. But, dehazed results of the existing algorithm tend to be over smoothened with missing fine image details. ...
In the proposed method, a dehazing algorithm which gives a detail preserving image is given based on two priors: depth edge aware prior and air light impact regularity prior. ...
In conventional studies, image dehazing is described as a contrast enhancement problem. Histogram equalization models are typically utilized for image dehazing purposes. ...
doi:10.23883/ijrter.conf.20190304.007.k6jbw
fatcat:njtaupbgnrewrmn44hhcnohsq4
An Image dehazing approach based on the airlight field estimation
[article]
2018
arXiv
pre-print
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This paper proposes a scheme for single image haze removal based on the airlight field (ALF) estimation. ...
We also introduce a valid haze-level prior for effective estimate of transmission. ...
The image dehazing result based on the airlight field estimation is shown in Figure 7 . ...
arXiv:1805.02142v1
fatcat:5jey7o6mujappofipy2dwfkoja
Review of passive polarimetric dehazing methods
2021
Optical Engineering: The Journal of SPIE
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The polarimetric dehazing methods are effective for direct imaging and enhancing the imaging quality. ...
The images acquired in haze conditions are significantly degraded due to the presence of atmospheric particles. These images have low contrast, poor visibility, and some information is lost as well. ...
So, the airlight radiance is estimated using multiple polarization images of the same scene for obtaining the dehazed image. ...
doi:10.1117/1.oe.60.3.030901
fatcat:bmqg7idqh5fdlolfxfl3vtfivi
Measuring Atmospheric Scattering from Digital Images of Urban Scenery using Temporal Polarization-Based Vision
[article]
2014
arXiv
pre-print
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Current image haze extraction algorithms remove haze from the scene for the sole purpose of enhancing vision. ...
These algorithms not only measure atmospheric scattering, but also recover a more accurate depthmap and dehazed image. ...
The dichromatic dehazing method estimates two atmospheric airlight intensities for each of its input images (taken at different times). ...
arXiv:1407.3540v1
fatcat:2vt3x6fdxvgixjgg6uy7uoeg3a
Visual Model Based Single Image Dehazing Using Artificial Bee Colony Optimization
2012
International Journal of Information Sciences and Techniques
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This paper presents a novel algorithm for improving the visibility of an image degraded by haze. The proposed method uses a cost function based on human visual model to estimate airlight map. ...
It employs Artificial Bee Colony optimization (ABC) as the optimization technique for estimating air light map. Image is dehazed by removing the estimatedairlight from the degraded image. ...
In the airlight is assumed to be constant over the entire image and is estimated given a single image,based on the fact that in natural images the local sample mean of pixel intensities is proportional ...
doi:10.5121/ijist.2012.2306
fatcat:uqxnt6bjznfzhjypigvpa5tbla
Nighttime Haze Removal with Glow and Multiple Light Colors
2015
2015 IEEE International Conference on Computer Vision (ICCV)
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Based on the model, we propose a framework that first reduces the effect of the glow in the image, resulting in a nighttime image that consists of direct transmission and airlight only. ...
To address these effects, we introduce a new nighttime haze model that accounts for the varying light sources and their glow. ...
Effect of our first and second constraints for the glow decomposition. ...
doi:10.1109/iccv.2015.34
dblp:conf/iccv/LiTB15
fatcat:j3lmglmvs5a4tnjgewce27atby
Polarization-Based Haze Removal Using Self-Supervised Network
2022
Frontiers in Physics
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Therefore, the proposed method does not require any haze-free image as the constraint for neural network training. ...
It is proved that this method can significantly improve the contrast of the original image, and the detailed information of the scene can be effectively enhanced. ...
Non-local Image Dehazing. ...
doi:10.3389/fphy.2021.789232
fatcat:grsgjlh6c5h5ncgno3zff2rzxq
Non-local Image Dehazing
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Previous methods solve the single image dehazing problem using various patch-based priors. We, on the other hand, propose an algorithm based on a new, non-local prior. ...
Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. ...
Non-Local Colors in Hazy Images We first present the haze model and then describe how we use non-local haze-lines for image dehazing. ...
doi:10.1109/cvpr.2016.185
dblp:conf/cvpr/BermanTA16
fatcat:o2k6gwfa2zdwpcqyqk23zkq2vm
Dehazing for Image and Video Using Guided Filter
2012
Open Journal of Applied Sciences
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Thus, haze removal is highly required for receiving high performance of the vision algorithm. In this paper, we propose a new fast dehazing method for real-time image and video processing. ...
Results demonstrate that the proposed method achieves good dehazeing effect as well as real-time performance. ...
Extract the Transmission The core of haze removal for an image is to estimate the airlight and transmission map. ...
doi:10.4236/ojapps.2012.24b030
fatcat:rfhp2xag6feifdfgwnmoxmfnpi
Unsupervised Neural Rendering for Image Hazing
[article]
2021
arXiv
pre-print
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To this end, we propose a neural rendering method for image hazing, dubbed as HazeGEN. ...
Image hazing aims to render a hazy image from a given clean one, which could be applied to a variety of practical applications such as gaming, filming, photographic filtering, and image dehazing. ...
To verify the effectiveness of our method in boosting image dehazing, we use D gt in and D gt out as exemplar for D input in and D input out , respectively. ...
arXiv:2107.06681v1
fatcat:iytsx2q2jzhitef6ejsjnnxzma
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