Results 31 to 40 of about 11,243,828 (208)
Unsupervised water scene dehazing network using multiple scattering model.
PLoS ONE, 2021 In water scenes, where hazy images are subject to multiple scattering and where ideal data sets are difficult to collect, many dehazing methods are not as effective as they could be.
Shunmin An +4 more
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Remote Sensing Image Dehazing Based on an Attention Convolutional Neural Network
IEEE Access, 2022 Haze may affect the quality of optical remote sensing images, thus limiting the scope of their application. Remote sensing image dehazing has become important in remote sensing image preprocessing, promoting the use of remote sensing data and the ...
Zhijie He, Cailan Gong, Yong Hu, Lan Li
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Survey of Transformer-Based Single Image Dehazing Methods [PDF]
Jisuanji kexue yu tansuoAs a fundamental computer vision task, image dehazing aims to preprocess degraded images by restoring color contrast and texture information to improve visibility and image quality, thereby the clear images can be recovered for subsequent high-level ...
ZHANG Kaili, WANG Anzhi, XIONG Yawei, LIU Yun
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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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A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior [PDF]
, 2015 Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful color attenuation prior for haze removal from a single input hazy image.
Zhu, Qingsong +5 more
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Multilevel Image Dehazing Algorithm Using Conditional Generative Adversarial Networks
IEEE Access, 2020 In recent years, the hazy weather in China occurs frequently, and image dehazing has gradually become a research hotspot. To improve the dehazing effect of the hazy images, this paper has proposed a multilevel image dehazing algorithm using conditional ...
Kailei Gan, Jieyu Zhao, Hao Chen
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Aerial Image Dehazing Using Reinforcement Learning
, 2022 Aerial observation is usually affected by the Earth’s atmosphere, especially when haze exists. Deep reinforcement learning was used in this study for dehazing.
Jing Yu +3 more
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Rethinking Performance Gains in Image Dehazing Networks [PDF]
, 2022 Image dehazing is an active topic in low-level vision, and many image dehazing networks have been proposed with the rapid development of deep learning.
Du, Xin +3 more
core +1 more source
Journal of Advanced Transportation, 2021 Image dehazing has become a fundamental problem of common concern in computer vision-driven maritime intelligent transportation systems (ITS). The purpose of image dehazing is to reconstruct the latent haze-free image from its observed hazy version.
Xianjun Hu +3 more
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