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Fast single image dehazing algorithm

2014 International Conference on Audio, Language and Image Processing, 2014
Image 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
openaire   +2 more sources

Single Image Dehazing via Image Generating

2018
Outdoor 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
openaire   +2 more sources

Color Shifting-Aware Image Dehazing

2019 IEEE International Symposium on Multimedia (ISM), 2019
Built 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
openaire   +1 more source

Transformer based Image Dehazing

2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022
Patricia L. Suárez   +3 more
openaire   +2 more sources

Day/night unconstrained image dehazing

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Images 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
openaire   +2 more sources

Image Dehazing Using Regularized Optimization

2014
The 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
openaire   +2 more sources

A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning

ACM Computing Surveys, 2023
Wenqi Ren, Jing Zhang, Dacheng Tao
exaly  

Vision Transformers for Single Image Dehazing

IEEE Transactions on Image Processing, 2023
Yuda Song, Hui Qian, Zhuqing He
exaly  

Image Dehazing via Enhancement, Restoration, and Fusion: A Survey

Information Fusion, 2022
Xiaojie Guo, Chaoyue Wang, Jiayi Ma
exaly  

RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing

IEEE Transactions on Image Processing, 2021
Lin Zhang, Yicong Zhou, Shiyu Zhao
exaly  

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