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International Journal of Interactive Multimedia and Artificial Intelligence, 2021 Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying the existing literature ...
Karrar Hameed Abdulkareem +6 more
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AED-Net: A Single Image Dehazing
IEEE Access, 2022 In the past decade, significant research effort has been directed toward developing single-image dehazing algorithms. Despite this effort, dehazing continues to present a challenge, particularly in complex real-world cases.
Sargis A. Hovhannisyan +3 more
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Domain Adaptation for Image Dehazing [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Image dehazing using learning-based methods has achieved state-of-the-art performance in recent years. However, most existing methods train a dehazing model on synthetic hazy images, which are less able to generalize well to real hazy images due to domain shift.
Yuanjie Shao +4 more
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Dehazing algorithm for complex environment video images considering visual communication effects
Journal of Radiation Research and Applied SciencesThe communication effect of outdoor computer vision systems is closely related to the dehazing performance of video images. Currently, video image restoration methods in complex environments are still in an urgent development stage.
Yisa Yu, Jianwen Li
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A Bayesian Framework for Single Image Dehazing considering Noise
The Scientific World Journal, 2014 The single image dehazing algorithms in existence can only satisfy the demand for dehazing efficiency, not for denoising. In order to solve the problem, a Bayesian framework for single image dehazing considering noise is proposed.
Dong Nan +4 more
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Single Image Dehazing Using Wavelet-Based Haze-Lines and Denoising
IEEE Access, 2021 Haze reduces the contrast of an image and causes the loss in colors, which has a negative effect on the subsequent object detection; therefore, single image dehazing is a challenging visual task.
Wei-Yen Hsu, Yi-Sin Chen
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Nighttime Image Dehazing by Render
Journal of Imaging, 2023 Nighttime image dehazing presents unique challenges due to the unevenly distributed haze caused by the color change of artificial light sources. This results in multiple interferences, including atmospheric light, glow, and direct light, which make the complex scattering haze interference difficult to accurately distinguish and remove.
Zheyan Jin +3 more
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Image dehazing technique based on polarimetric spectral analysis
, 2016 Image took under hazy weather suffers from poor contrast and resolution, the haze particles will attenuate the light reflected by the targets and add unwanted scattering light.
Xia, Pu, Liu, Xuebin
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MixDehazeNet : Mix Structure Block For Image Dehazing Network [PDF]
, 2023 Image dehazing is a typical task in the low-level vision field. Previous studies verified the effectiveness of the large convolutional kernel and attention mechanism in dehazing.
Xu, BingRong +3 more
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