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Day and Night-Time Dehazing by Local Airlight Estimation

Cosmin Ancuti, Codruta O. Ancuti, Christophe De Vleeschouwer, Alan C. Bovik
2020 IEEE Transactions on Image Processing  
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

Jin-Hwan Kim, Jae-Young Sim, Chang-Su Kim
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
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

Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Sabine Susstrunk
2013 2013 IEEE International Conference on Image Processing  
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

N Carlevaris-Bianco, A Mohan, R M Eustice
2010 OCEANS 2010 MTS/IEEE SEATTLE  
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

Y. Zhang, L. Y. Luo, H. J. Zhao, R. D. Qiu, Y. S. Ying
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Benin Wise.B. S, Josephin Shermila.P
2019 International Journal of Recent Trends in Engineering and Research  
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]

Lijun Zhang, Yongbin Gao, Yujin Zhang
2018 arXiv   pre-print
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

Wenfei Zhang, Jian Liang, Guomei Wang, Huanian Zhang, Shenggui Fu
2021 Optical Engineering: The Journal of SPIE  
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]

Tarek El-Gaaly, Joshua Gluckman
2014 arXiv   pre-print
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

S MohamedMansoorRoomi
2012 International Journal of Information Sciences and Techniques  
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

Yu Li, Robby T. Tan, Michael S. Brown
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
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

Yingjie Shi, Enlai Guo, Lianfa Bai, Jing Han
2022 Frontiers in Physics  
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

Dana Berman, Tali Treibitz, Shai Avidan
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Zheqi Lin
2012 Open Journal of Applied Sciences  
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]

Boyun Li, Yijie Lin, Xiao Liu, Peng Hu, Jiancheng Lv, Xi Peng
2021 arXiv   pre-print
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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