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Single Image Dehazing Using Haze-Lines
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Haze often limits visibility and reduces contrast in outdoor images. The degradation varies spatially since it depends on the objects' distances from the camera. This dependency is expressed in the transmission coefficients, which control the attenuation.
Dana Berman, Tali Treibitz, Shai Avidan
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Benchmarking Single Image Dehazing Methods
SN Computer Science, 2021Images acquired under hazy environment need processing for improving their contrast and color fidelity. Haze removal or dehazing is an important pre-processing stage in the field of computer vision and video applications. Several techniques have been proposed in the literature for dehazing outdoor images.
Deepa Nair, Praveen Sankaran
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Single-Image Dehazing via Compositional Adversarial Network
IEEE Transactions on Cybernetics, 2021Single-image dehazing has been an important topic given the commonly occurred image degradation caused by adverse atmosphere aerosols. The key to haze removal relies on an accurate estimation of global air-light and the transmission map. Most existing methods estimate these two parameters using separate pipelines which reduces the efficiency and ...
Hongyuan Zhu +8 more
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Weakly supervised single image dehazing
Journal of Visual Communication and Image Representation, 2020Abstract Single image dehazing is a critical image pre-processing step for many practical vision systems. Most existing dehazing methods solve this problem utilizing various of hand-crafted priors or by supervised training on the synthetic hazy image information (such as haze-free image, transmission map and atmospheric light).
Cong Wang +3 more
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Deep Retinex Network for Single Image Dehazing
IEEE Transactions on Image Processing, 2021In this paper, we propose a retinex-based decomposition model for a hazy image and a novel end-to-end image dehazing network. In the model, the illumination of the hazy image is decomposed into natural illumination for the haze-free image and residual illumination caused by haze.
Pengyue Li +4 more
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Single Smog Image Dehazing Method
2016 3rd International Conference on Information Science and Control Engineering (ICISCE), 2016Images in fog or smog degrade dreadfully, although there were quite a few image dehazing methods, which were not very effective to smog images. This paper proposed a novel dehazing method based on propagating deconvolution and dark-channel prior. Propagating deconvolution aimed at recovering smog image to get rid of the smog in front of the scene, it ...
Rui Wang, Guoyu Wang
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Fast single image dehazing algorithm
2014 International Conference on Audio, Language and Image Processing, 2014Image captured in foggy weather conditions often suffer from poor visibility. In this paper, we proposed an improved method of dark channel prior. Using the semi-inverse algorithm, the proposed algorithm can accurately identify the foggy area and effectively obtain the global atmospheric light. Then the transmission is obtained according to the minimum
Xipan Lu, Guoyun Lv, Tao Lei
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Single Image Dehazing Using Saturation Line Prior
IEEE Transactions on Image Processing, 2023Saturation information in hazy images is conducive to effective haze removal, However, existing saturation-based dehazing methods just focus on the saturation value of each pixel itself, while the higher-level distribution characteristic between pixels regarding saturation remains to be harnessed.
Pengyang Ling +4 more
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ACM SIGGRAPH 2008 papers, 2008
In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new approach we formulate a refined image formation model that accounts for surface shading in ...
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In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new approach we formulate a refined image formation model that accounts for surface shading in ...
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Novel Single Image Dehazing Algorithm
Advanced Materials Research, 2014In order to improve the quality of haze degraded image, a novel method is proposed combining dark channel prior and the atmospheric degradation model. Firstly, adaptive block is performed to acquire the dark channel image; then, in HSV space, laplacian pyramid filter is required to obtain the low pass portion of V, further compensated by the single ...
Jian Peng Chen +3 more
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