Results 171 to 180 of about 11,754,470 (203)
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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 via Image Generating
2018Outdoor images taken in bad weather conditions often suffer from poor visibility. However, single image haze removal is an ill-posed problem, because the number of the equations is smaller than the number of unknowns. In this paper, a deep learning-based method, called Dehaze CNN, is proposed to estimate a clear image patch from a hazy image patch ...
Shengdong Zhang +2 more
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Color Shifting-Aware Image Dehazing
2019 IEEE International Symposium on Multimedia (ISM), 2019Built upon an image formation model for a single hazy image, existing image dehazing methods typically restore hazed pixels by estimating the unknown transmission map and global ambient light via exploiting image priors. They often produce visually unpleasing results when hazy images are with unwanted color shifts due to inaccurate estimation about the
Jia-Li Yin +3 more
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Transformer based Image Dehazing
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022Patricia L. Suárez +3 more
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Day/night unconstrained image dehazing
2016 23rd International Conference on Pattern Recognition (ICPR), 2016Images taken under fog or haze have their visibility reduced due to the existence of aerosols in the atmosphere. Image dehazing methods try to recover haze-free versions of these images by removing the effect of haze. Methods proposed till now are exclusively for daytime scene images or for night-time scene.
Sanchayan Santra, Bhabatosh Chanda
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Image Dehazing Using Regularized Optimization
2014The presence of haze shifts the color and degrades the visibility of outdoor scenes in digital images. In this paper, we propose a novel and effective optimization algorithm for single image dehazing. We first formulate the dehazing model into a linear convex optimization problem, and we develop its cost function based on two basic observations: first,
Jiaxi He, Cishen Zhang, Ifat-Al Baqee
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A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning
ACM Computing Surveys, 2023Wenqi Ren, Jing Zhang, Dacheng Tao
exaly
Vision Transformers for Single Image Dehazing
IEEE Transactions on Image Processing, 2023Yuda Song, Hui Qian, Zhuqing He
exaly
Image Dehazing via Enhancement, Restoration, and Fusion: A Survey
Information Fusion, 2022Xiaojie Guo, Chaoyue Wang, Jiayi Ma
exaly
RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing
IEEE Transactions on Image Processing, 2021Lin Zhang, Yicong Zhou, Shiyu Zhao
exaly

