Results 11 to 20 of about 6,257 (303)
Underwater Images Enhancement by Revised Underwater Images Formation Model
IEEE Access, 2022 In this paper, we proposed the efficient and appealing technique for underwater images enhancement. Underwater images often suffer from haze, color distortion, low contrast and loss of the human acuity due to light scattering and absorption. To tackle these issues, proposed precise model is presented expressively showed that: (1) the estimation of the ...
Soo-Chang Pei, Chia-Yi Chen
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Fast underwater image enhancement based on a generative adversarial framework
Frontiers in Marine Science, 2023 Underwater image enhancement is a fundamental requirement in the field of underwater vision. Along with the development of deep learning, underwater image enhancement has made remarkable progress. However, most deep learning-based enhancement methods are
Yang Guan +8 more
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Research on the Influence of Underwater Image Enhancement Restoration on the Accuracy of Deep Learning Object Detection [PDF]
Jisuanji gongcheng, 2023 Due to the particularity of the underwater environment, underwater optical images often suffer from degradation issues such as color cast, blur, and low contrast.
Xieliu YANG, Guowen MEN, Wenfeng LIANG, Dan WANG, Zhengyi XIE, Huijie FAN
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Enhancing underwater images by fusion [PDF]
ACM SIGGRAPH 2011 Posters, 2011 When photographs are taken in underwater conditions the visibility of the scene is degraded significantly. This is due to the fact that the radiance of a point in the scene is directly influenced by the medium scattering. Practically, distant objects and part of the scene suffers from poor visibility, loss of contrast and faded colors.
Cosmin Ancuti +3 more
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Real-time GAN-based image enhancement for robust underwater monocular SLAM
Frontiers in Marine Science, 2023 Underwater monocular visual simultaneous localization and mapping (SLAM) plays a vital role in underwater computer vision and robotic perception fields.
Ziqiang Zheng +4 more
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Fractal and Fractional, 2023 As an essential low-level computer vision task for remotely operated underwater robots and unmanned underwater vehicles to detect and understand the underwater environment, underwater image enhancement is facing challenges of light scattering, absorption,
Yang Yu, Chenfeng Qin
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Domain Adaptation for Underwater Image Enhancement
IEEE Transactions on Image Processing, 2023 Recently, learning-based algorithms have shown impressive performance in underwater image enhancement. Most of them resort to training on synthetic data and achieve outstanding performance. However, these methods ignore the significant domain gap between the synthetic and real data (i.e., interdomain gap), and thus the models trained on synthetic data ...
Zhengyong Wang +5 more
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An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network. [PDF]
Sensors (Basel), 2023 This paper presents an efficient underwater image enhancement method, named ECO-GAN, to address the challenges of color distortion, low contrast, and motion blur in underwater robot photography. The proposed method is built upon a preprocessing framework
Jiang X +6 more
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Underwater Image Enhancement Based on Hybrid Enhanced Generative Adversarial Network
Journal of Marine Science and Engineering, 2023 In recent years, underwater image processing has played an essential role in ocean exploration. The complexity of seawater leads to the phenomena of light absorption and scattering, which in turn cause serious image degradation problems, making it ...
Danmi Xu +3 more
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A Hybrid Framework for Underwater Image Enhancement [PDF]
IEEE Access, 2020 Underwater captured images often suffer from poor visibility caused by two major degradations: scattering and absorption. In this paper, we propose a hybrid framework for underwater image enhancement, which unifies underwater white balance and variational contrast and saturation enhancement. In our framework, the improved underwater white balance (UWB)
Xinjie Li +3 more
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