Results 11 to 20 of about 281,745 (348)
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding [PDF]
IEEE Transactions on Image Processing, 2021 Underwater images suffer from color casts and low contrast due to wavelength- and distance-dependent attenuation and scattering. To solve these two degradation issues, we present an underwater image enhancement network via medium transmission-guided ...
Chongyi Li +5 more
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U-Shape Transformer for Underwater Image Enhancement [PDF]
IEEE Transactions on Image Processing, 2021 The light absorption and scattering of underwater impurities lead to poor underwater imaging quality. The existing data-driven based underwater image enhancement (UIE) techniques suffer from the lack of a large-scale dataset containing various underwater
Lintao Peng, Chunli Zhu, Liheng Bian
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Underwater target detection based on improved YOLOv7 [PDF]
Journal of Marine Science and Engineering, 2023 Underwater target detection is a crucial aspect of ocean exploration. However, conventional underwater target detection methods face several challenges such as inaccurate feature extraction, slow detection speed, and lack of robustness in complex ...
Bing Li +3 more
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An Underwater Image Enhancement Benchmark Dataset and Beyond [PDF]
IEEE Transactions on Image Processing, 2019 Underwater image enhancement has been attracting much attention due to its significance in marine engineering and aquatic robotics. Numerous underwater image enhancement algorithms have been proposed in the last few years.
Chongyi Li +6 more
semanticscholar +1 more source
Fast Underwater Image Enhancement for Improved Visual Perception [PDF]
IEEE Robotics and Automation Letters, 2019 In this letter, we present a conditional generative adversarial network-based model for real-time underwater image enhancement. To supervise the adversarial training, we formulate an objective function that evaluates the perceptual image quality based on
M. Islam, Youya Xia, Junaed Sattar
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Underwater Object Detection Using TC-YOLO with Attention Mechanisms
Italian National Conference on Sensors, 2023 Underwater object detection is a key technology in the development of intelligent underwater vehicles. Object detection faces unique challenges in underwater applications: blurry underwater images; small and dense targets; and limited computational ...
Kun Liu, Lei Peng, Shanran Tang
semanticscholar +1 more source
Italian National Conference on Sensors, 2023 Underwater marine object detection, as one of the most fundamental techniques in the community of marine science and engineering, has been shown to exhibit tremendous potential for exploring the oceans in recent years.
M. J. Er +3 more
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Uncertainty Inspired Underwater Image Enhancement [PDF]
European Conference on Computer Vision, 2022 A main challenge faced in the deep learning-based Underwater Image Enhancement (UIE) is that the ground truth high-quality image is unavailable. Most of the existing methods first generate approximate reference maps and then train an enhancement network ...
Zhenqi Fu +4 more
semanticscholar +1 more source
Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection [PDF]
Neurocomputing, 2022 Complicated underwater environments bring new challenges to object detection, such as unbalanced light conditions, low contrast, occlusion, and mimicry of aquatic organisms.
Pinhao Song +4 more
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Bathymetric Particle Filter SLAM With Graph-Based Trajectory Update Method
IEEE Access, 2021 A graph-based particle filter bathymetric simultaneous localization and mapping (BSLAM) method is proposed to solve the oscillation problem of the trajectories estimated by particles when using a low precise vehicle motion model and obtain accurate ...
Qianyi Zhang +4 more
doaj +1 more source