Results 21 to 30 of about 16,734,778 (159)
Zero-Shot Remote Sensing Image Dehazing Based on a Re-Degradation Haze Imaging Model
Remote Sensing, 2022 Image dehazing is crucial for improving the advanced applications on remote sensing (RS) images. However, collecting paired RS images to train the deep neural networks (DNNs) is scarcely available, and the synthetic datasets may suffer from domain-shift ...
Jianchong Wei +4 more
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Semantic Single-Image Dehazing
CoRR, 2018 Single-image haze-removal is challenging due to limited information contained in one single image. Previous solutions largely rely on handcrafted priors to compensate for this deficiency. Recent convolutional neural network (CNN) models have been used to learn haze-related priors but they ultimately work as advanced image filters.
Ziang Cheng +3 more
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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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Improved dehazing techniques for maritime surveillance image enhancement [PDF]
Serbian Journal of Electrical Engineering, 2018 The subjective quality of images (human interpretation) is very important in long-range imaging systems, where the presence of haze directly influences visibility of the scene, by reducing contrast and obscuring objects.
Stojanović Branka +2 more
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An efficient single image dehazing algorithm based on transmission map estimation with image fusion
Engineering Science and Technology, an International Journal, 2022 Single image dehazing is always the focus of attention in the field of image processing. The major improvements in most optical scattering model based dehazing algorithms focused on the transmission map estimation since that the improper of transmission ...
Shuangyu Cheng, Bin Yang
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Enhance Low Visibility Image Using Haze-Removal Framework
IEEE Access, 2023 We proposed a novel image enhancement framework to raise the visibility of the image’s content. Our primary concern is eliminating haze-like effects and simultaneously increasing images’ brightness.
Ping Juei Liu
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Single Image Dehazing Using End-to-End Deep-Dehaze Network [PDF]
Electronics, 2020 Haze is a natural distortion to the real-life images due to the specific weather conditions. This distortion limits the perceptual fidelity, as well as information integrity, of a given image. Image dehazing for the observed images is a complicated task because of its ill-posed nature.
Masud An-Nur Islam Fahim, Ho Yub Jung
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Advances in Single-Image Dehazing via Unsupervised Learning [PDF]
Jisuanji kexue yu tansuoImage dehazing is an important research direction in image restoration for computer vision. Publicly available datasets are mainly dominated by large-scale synthetic hazy image datasets, while real-world hazy image datasets remain relatively limited.
ZHANG Mengmeng, YANG Ying, ZHAO Jia, WANG Huiling
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Single Image Dehazing Using Color Attenuation Prior
, 2014 In this paper, we propose a simple but powerful prior, color attenuation prior, for haze removal from a single input hazy image. By creating a linear model for modelling the scene depth of the hazy image under this novel prior and learning the parameters
Shao, Ling, Qingsong Zhu, Jiaming Mai
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Convolutional Autoencoder For Single Image Dehazing [PDF]
2019 IEEE International Conference on Image Processing (ICIP), 2019 In this paper, we present a Convolutional AutoEncoder (CAE) for single image dehazing. Our CAE makes use of Densely Connection Networks as its encoder and decoder. It is trained with the corresponding hazy and clean images at the input and output, enabling it to remove the haze without having to rely on an atmospheric scattering model.
Rongsen Chen, Edmund M.-K. Lai
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