Results 31 to 40 of about 16,734,778 (159)
Underwater Single Image Dehazing Using the Color Space Dimensionality Reduction Prior
IEEE Access, 2020 Underwater images suffer from low visibility and contrast caused by absorption and scattering, which leads to haze and some further limitations. The existing underwater single image dehazing methods cannot achieve a balance between the performance and ...
Yongbin Liu +4 more
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Single Image Dehazing using CNN
Procedia Computer Science, 2019 Abstract Haze is a natural phenomenon in which the dust, smoke and other particles alter the vision of the sky to reduce the visibility. Hazy images cause various visibility problems for traffic user, tourists everywhere, especially in hilly areas where haze and fog are very common.
Huzaifa Rashid +4 more
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Single Image Dehazing Using Deep Learning
JOIV: International Journal on Informatics Visualization, 2021 Many real-world situations such as bad weather may result in hazy environments. Images captured in these hazy conditions will have low image quality due to microparticles in the air.
Cahyo Adhi Hartanto, Laksmita Rahadianti
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Deeplearning method for single image dehazing based on HSI colour space
Journal of Measurement Science and Instrumentation, 2021 The traditional single image dehazing algorithm is susceptible to the prior knowledge of hazy image and colour distortion.A new method of deep learning multi-scale convolution neural network based on HSI colour space for single image dehazing is proposed
CHEN Yong, TAO Meifeng, GUO Hongguang
doaj
Single Image Dehazing via NIN-DehazeNet
IEEE Access, 2019 Single image dehazing has always been a challenging problem in the field of computer vision. Traditional image defogging methods use manual features.
Kangle Yuan +3 more
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SINGLE IMAGE DEHAZING FOR VISIBILITY IMPROVEMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Images captured in foggy weather conditions often suffer from poor visibility, which will create a lot of impacts on the outdoor computer vision systems, such as video surveillance, intelligent transportation assistance system, remote sensing space ...
Y. Zhai, D. Ji
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LHNet: A Low-cost Hybrid Network for Single Image Dehazing
, 2023 Single image dehazing is a challenging task that requires both local detail and global distribution, and can be applied to various scenarios. However, physics-based dehazing algorithms perform well only in specific settings, while CNN-based algorithms ...
Chen, Jijia +4 more
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Classification-driven Single Image Dehazing
CoRR, 2019 Most existing dehazing algorithms often use hand-crafted features or Convolutional Neural Networks (CNN)-based methods to generate clear images using pixel-level Mean Square Error (MSE) loss. The generated images generally have better visual appeal, but not always have better performance for high-level vision tasks, e.g. image classification.
Yanting Pei +2 more
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Towards Efficient Single Image Dehazing and Desnowing
CoRR, 2022 Removing adverse weather conditions like rain, fog, and snow from images is a challenging problem. Although the current recovery algorithms targeting a specific condition have made impressive progress, it is not flexible enough to deal with various degradation types.
Tian Ye 0001 +4 more
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The dynamic transmission map for dehazing method in single image with tropical atmospheric condition [PDF]
, 2021 Normally, outdoor images are degraded by light scattering and absorption from the atmosphere's dust, mist, haze, and smoke. These affect the image captured and cause poor visibility, dimmed luminosity, low contrast, and colour distortion.
Mohd Shafry Mohd Rahim +4 more
core +3 more sources