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Haze Removal by Modeling the Scattering Properties of the Medium
IEEE Signal Processing Letters, 2020This letter proposes a simple and effective method to remove haze from a single input foggy or underwater image. The algorithm is originated from the physically valid description of the transmission of the scattering light during the volumetric scattering medium, interpreting the formation of the haze with the layered transmission model.
Rui Wang 0069, Tingting Ji, Guoyu Wang
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A Review on Haze Removal Techniques
2019Images captured in outer environment suffer from reduced scene visibility, reduced color contrast, and increased color fading. This may happen due to the presence of haze, fog, smoke, dust and noise present in the outer atmosphere. Haze is formed due to two basic processes, attenuation and air light. Attenuation diminishes the contrast of the image and
K. P. Senthilkumar, P. Sivakumar
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An Improved Algorithm for Single Image Haze Removal
2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 2018Here, an algorithm for effectively removing image haze that combines an improved dark channel prior algorithm with the White-Patch Retinex algorithm is introduced. The proposed algorithm can, given its effective design, not only remove haze from an image, but also prevent the following problems that can result from use of the dark channel prior ...
Hung-Yuan Chung +2 more
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Feature Aggregation Convolution Network for Haze Removal
2019 IEEE International Conference on Image Processing (ICIP), 2019The Haze Removal technique refers to the process of reconstructing haze free images from inclement weather conditions in the same scene, which has a more extensive demand in practical application. At present, the model based on the deep convolution neural network has made significant progress in the field of haze removal, and its effect has greatly ...
Lin-Yuan He, Junqiang Bai, Meng Yang
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A video haze removal system on heterogeneous cores
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015In this paper, we propose a video haze removal system that can be used to assist vehicle drivers and autonomous vehicles in hazy weather conditions. Our design objectives are to provide a high-speed system with high perceived resolution that can be integrated in vehicle dashboard.
Mostafa M. El-Hashash +3 more
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Single Image Haze Removal by Feature Mapping
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019To restore a clear image from a single hazy image, many priors have been proposed for transmission estimation, but these priors often fail in some cases. In this paper, we propose a regression mapping model based on hazy features for haze removal. We fisrt propose sixteen hazy features for mapping, which include the dark channel prior, hazy measures ...
Yu Zhou, Feiniu Yuan, Xue Xia, Ya Li
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Hardware Architecture of Bilateral Filter to Remove Haze
2011In this paper, we propose the hardware architecture of bilateral filter that can smooth image while preserving edges for the real-time image processing. Bilateral filter is nonlinear combination of nearby image values. As the time complexity of bilateral filter is O (total pixel size ∗ filter kernel size 2), the real-time processing is difficult.
Eun-Kyoung Kim +3 more
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Weighted haze removal method with halo prevention
Journal of Visual Communication and Image Representation, 2014In this paper, we propose an efficient method to remove haze from a signal image based on the atmospheric scattering model and dark channel prior. Our approach applies a weighted technique that automatically finds the possible atmospheric lights, and mixes these candidates to refine the atmospheric light.
Yeu-Horng Shiau +4 more
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Research and Implementation of Image Haze Removal Algorithm
Proceedings of the 8th International Conference on Signal Processing Systems, 2016Haze has a great impact on the picture clarity, which cannot meetthe needs of high definition image areas. In this paper, image haze removal algorithms are studied, where the haze image are treated and restored using dark channel prior theory. Dark channel prior is an image Statistics Law -- within the vast majority of outdoor haze free image, there ...
Feng Dong, Ye Pan
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Haze removal based on sparse representation prior
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 2015Single image dehazing with its ill-posted characteristics has been a popular challenge in low-level vision. In this paper, an alternative approach of solving a single hazy image is presented. Initially, we propose a new haze model in consideration of multiple scattering during light propagation.
Jiafeng Li 0001 +4 more
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