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Virtual Underwater Datasets for Autonomous Inspections
Journal of Marine Science and Engineering, 2022 Underwater Vehicles have become more sophisticated, driven by the off-shore sector and the scientific community’s rapid advancements in underwater operations.
Ioannis Polymenis +3 more
doaj +4 more sources
Autonomous underwater vehicle fault diagnosis dataset
Data in Brief, 2021 The dataset contains 1225 data samples for 5 fault types (labels). We divided the dataset into the training set and the test set through random stratified sampling. The test set accounted for 20% of the total dataset. Our experimental subject is ‘Haizhe’,
Daxiong Ji +4 more
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A Underwater Sequence Image Dataset for Sharpness and Color Analysis
Sensors, 2022 The complex underwater environment usually leads to the problem of quality degradation in underwater images, and the distortion of sharpness and color are the main factors to the quality of underwater images.
Miao Yang +5 more
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CSUID – Comprehensive synthetic underwater image dataset
Data in BriefThe underwater environment is characterized by complex light traversal, encompassing effects such as color loss, contrast loss, water distortion, backscatter, light attenuation, and color cast, which vary depending on water purity, depth, and other ...
Kuruma Purnima, C. Siva Kumar
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A Multimodal Optical Dataset for Underwater Image Enhancement, Detection, Segmentation, and Reconstruction [PDF]
Scientific DataMultimodal devices utilizing optical cameras and LiDAR are crucial for precise underwater environmental perception. Enhancing and optimizing RGB images and laser point clouds through algorithms is a key focus in underwater computer vision.
Xuanhe Chu +10 more
doaj +2 more sources
IEEE Access, 2023 The rise of vision-based environmental, marine, and oceanic exploration research highlights the need for supporting underwater image enhancement techniques to help mitigate water effects on images such as blurriness, low color contrast, and poor quality.
Ashraf Saleem +4 more
doaj +2 more sources
Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN [PDF]
IEEE Journal of Oceanic Engineering, 2022 Current state-of-the-art object tracking methods have largely benefited from the public availability of numerous benchmark datasets. However, the focus has been on open-air imagery and much less on underwater visual data. Inherent underwater distortions, such as color loss, poor contrast, and underexposure, caused by attenuation of light, refraction ...
Karen Panetta +3 more
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An underwater image enhancement model for domain adaptation
Frontiers in Marine Science, 2023 Underwater imaging has been suffering from color imbalance, low contrast, and low-light environment due to strong spectral attenuation of light in the water.
Xiwen Deng +10 more
doaj +1 more source
Underwater image quality assessment method based on color space multi-feature fusion
Scientific Reports, 2023 The complexity and challenging underwater environment leading to degradation in underwater image. Measuring the quality of underwater image is a significant step for the subsequent image processing step. Existing Image Quality Assessment (IQA) methods do
Tianhai Chen +4 more
doaj +1 more source
An Underwater Image Enhancement Benchmark Dataset and Beyond [PDF]
IEEE Transactions on Image Processing, 2020 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. However, these algorithms are mainly evaluated using either synthetic datasets or few selected real-world images.
Chongyi Li +6 more
openaire +3 more sources