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Single Image Dehazing via Conditional Generative Adversarial Network

Runde Li, Jinshan Pan, Zechao Li, Jinhui Tang
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Extensive experimental results demonstrate that the proposed method performs favorably against the state-of-the-art methods on both synthetic dataset and real world hazy images.  ...  In this paper, we present an algorithm to directly restore a clear image from a hazy image.  ...  Figure 9 shows that the proposed method does not work well on light hazy images and night hazy images. This is probably because our training dataset does not include similar samples.  ... 
doi:10.1109/cvpr.2018.00856 dblp:conf/cvpr/LiPLT18 fatcat:i3ougkomjzd3hisfccvhicefg4

Dehazing for Image and Video Using Guided Filter

Zheqi Lin
2012 Open Journal of Applied Sciences  
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.  ...  Conclusions In this paper, a fast and effective method for real-time image and video dehazing is proposed.  ... 
doi:10.4236/ojapps.2012.24b030 fatcat:rfhp2xag6feifdfgwnmoxmfnpi

Color image dehazing using the near-infrared

Lex Schaul, Clement Fredembach, Sabine Susstrunk
2009 2009 16th IEEE International Conference on Image Processing (ICIP)  
We propose that fusing a visible and an near-infrared (NIR) image of the same scene results in a dehazed color image without the need for haze or airlight detection or the generation of depth maps.  ...  In landscape photography, distant objects often appear blurred with a blue color cast, a degradation caused by atmospheric haze.  ...  Our method is fast and does not need heuristics for haze and airlight detection. NIR Acquisition Camera sensors are made of silicon, sensitive to radiation from 200 nm to 1100 nm.  ... 
doi:10.1109/icip.2009.5413700 dblp:conf/icip/SchaulFS09 fatcat:tmg7mzb5wjacrhtcgdpyrgoaja

A Comprehensive Review on Image Dehazing

Jini Elsa Joseph, college of Engineering Chengannur
2020 International Journal of Engineering Research and  
Professor in Computer Science of our institution for the valuable comments that greatly improved the work.  ...  Wencheng Wang [7] introduced a fast algorithm for single image dehazing, based on the linear transformation that includes only linear operation.  ...  But there are some failure cases: there are some color distortions in the regions of grasses and leaves. The main reason is that the maximum reflectance prior does not influence on these regions.  ... 
doi:10.17577/ijertv9is060822 fatcat:dtwkffa5mzhermdcew5mobhvlq

Dehaze the Image Using Directed Filter Method after Blind Dehazing
ENGLISH

Kanchan , Gahlod, Hemant verma
2015 International Journal of Scientific Engineering and Technology  
We use the spread map of image in terms of intensity of image except a continuous region which has no edge information.  ...  The scheme performs a per-pixel manipulation, which is direct to implement, and then apply the Directed filter to improve the image quality.  ...  as an edge preserving, smoothing operator like the bilateral filter, but does not suffer from the gradient reversal artifacts.  ... 
doi:10.17950/ijset/v4s1/104 fatcat:7yxrfpntbfev7i4nbosvzsfyqm

O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images [article]

Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Christophe De Vleeschouwer
2018 arXiv   pre-print
Haze removal or dehazing is a challenging ill-posed problem that has drawn a significant attention in the last few years.  ...  Despite this growing interest, the scientific community is still lacking a reference dataset to evaluate objectively and quantitatively the performance of proposed dehazing methods.  ...  The color lines exploited in Fattal [16] also introduce some unpleasing color artifacts.  ... 
arXiv:1804.05101v1 fatcat:fwyzt75uejgxjpdsjzrtvadujq

Image Dehazing using PCA Fusion Technique for Enhanced Road Visibility

Pranali U., Samarth Borkar
2018 International Journal of Computer Applications  
The novelty of this algorithm is that it does not require any haze depth generation as normally required in many existing methods.  ...  The qualitative and quantitative comparison as compared with existing color fidelity and contrast reveals that our proposed novel method is better at restoring color fidelity and enhancing contrast.  ...  The novelty of the algorithm is that the proposed method does not require any haze depth generation as in the existing techniques and is less prone to artifacts.  ... 
doi:10.5120/ijca2018917204 fatcat:x6g62z6hhvhonem7utxvcuwzga

A Fast Semi-inverse Approach to Detect and Remove the Haze from a Single Image [chapter]

Codruta O. Ancuti, Cosmin Ancuti, Chris Hermans, Philippe Bekaert
2011 Lecture Notes in Computer Science  
We also provide a comparative evaluation against other recent single image dehazing methods, demonstrating the efficiency and utility of our approach.  ...  In this paper we introduce a novel approach to restore a single image degraded by atmospheric phenomena such as fog or haze.  ...  In contrast, we present a fast method which segments the image in regions that do not contain abrupt depth discontinuities.  ... 
doi:10.1007/978-3-642-19309-5_39 fatcat:4lqgtl5qfzejlkhu5hq6p3fism

O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images

Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Christophe De Vleeschouwer
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Haze removal or dehazing is a challenging ill-posed problem that has drawn a significant attention in the last few years.  ...  Despite this growing interest, the scientific community is still lacking a reference dataset to evaluate objectively and quantitatively the performance of proposed dehazing methods.  ...  The color lines exploited in Fattal [16] also introduce some unpleasing color artifacts.  ... 
doi:10.1109/cvprw.2018.00119 dblp:conf/cvpr/AncutiATV18 fatcat:jzh2yf7exnf5dolvujvixfllri

A Novel Image Dehazing Algorithm Based on Dual-tree Complex Wavelet Transform

2018 KSII Transactions on Internet and Information Systems  
In this paper, a fast image dehazing method based on visible image and near-infrared fusion is proposed.  ...  In the proposed method, a visible and a near-infrared (NIR) image of the same scene is fused based on the dual-tree complex wavelet transform (DT-CWT) to generate a dehazed color image.  ...  It is clear that the DCP and the MDCP algorithms are unable to achieve dehazing in the sky region, as shown in Fig. 11 (a)-(b) . This is because that dark channel does not work in the bright area.  ... 
doi:10.3837/tiis.2018.10.022 fatcat:vgava4z4vfhc5crxr27s7msi4i

A General-Purpose Dehazing Algorithm based on Local Contrast Enhancement Approaches [article]

Bangyong Sun, Vincent Whannou de Dravo, Zhe Yu
2020 arXiv   pre-print
In addition, it does not need to convert the problem into a physical interpretation, and finally that it is very fast.  ...  Other advantages of our method are first that it does not need to be trained, then it does not need additional optimization processing.  ...  ., Galdran, A., Cyriac, P., Bertalmío, M.: A fast image dehaz- ing method that does not introduce color artifacts. Journal of Real-Time Image Processing pp. 1-16 (2018) 47.  ... 
arXiv:2006.00568v1 fatcat:tir7objwojblvdsqjujpjylzka

Fast Video Dehazing Using Per-Pixel Minimum Adjustment

Zhong Luan, Hao Zeng, Yuanyuan Shang, Zhuhong Shao, Hui Ding
2018 Mathematical Problems in Engineering  
To reduce the computational complexity and maintain the effect of video dehazing, a fast and accurate video dehazing method is presented.  ...  An adjustment parameter is designed to fix the transmission map to reduce color distortion in the sky area. We propose a new quad-tree method to estimate the atmospheric light.  ...  The main objective of this paper is to develop a fast dehazing algorithm for image and video, where per-pixel method and quad-tree algorithm are utilized.  ... 
doi:10.1155/2018/9241629 fatcat:emeg5xgd3jesfnwzscxivjeazu

Image Dehazing with Dark Channel Prior and Novel Estimation Model

Bingquan Huo, Fengling Yin
2015 International Journal of Multimedia and Ubiquitous Engineering  
Single Image Dehazing technology is widely needed in many fields.  ...  Later, we introduce the watershed segmentation methodology into the algorithm to separate the image into some gray level consistent parts based on the original image's color distribution and feature difference  ...  not, we can estimate the atmospheric light the sky area does not exist.  ... 
doi:10.14257/ijmue.2015.10.3.02 fatcat:ej2wrngslvgx3arqcg4nokio6q

A Variational Framework for Single Image Dehazing [chapter]

Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío
2015 Lecture Notes in Computer Science  
Experimental results show that our method competes well with other stateof-the-art methods in typical benchmark images, while outperforming current image dehazing methods in more challenging scenarios.  ...  Unveiling the image structure under the haze layer and recovering vivid colors out of a single image remains a challenging task, since the degradation is depth-dependent and conventional methods are unable  ...  methods tends to create severe artifacts, while ours is still able to dehaze these scenes without introducing this kind of corruption.  ... 
doi:10.1007/978-3-319-16199-0_18 fatcat:nzv42pjcwbdjnmz4alv6wjrfl4

Gamma-Correction-Based Visibility Restoration for Single Hazy Images

Mingye Ju, Can Ding, Dengyin Zhang, Y. Jay Guo
2018 IEEE Signal Processing Letters  
In this letter, a concise gamma-correction-based dehazing model (GDM) is proposed.  ...  Simulation results on different types of benchmark images verify that the proposed technique outperforms state-of-the-art methods in terms of both recovery quality and real-time performance.  ...  It should be pointed out that the mean filter that lacks edge-preserving ability does not visually introduce halo artifacts in the dehazed results.  ... 
doi:10.1109/lsp.2018.2839580 fatcat:r72ckwx57veqbcdtnt7psgsega
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