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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
doaj +4 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 +3 more sources
Deblurring Ghost Imaging Reconstruction Based on Underwater Dataset Generated by Few-Shot Learning. [PDF]
Sensors (Basel), 2022 Underwater ghost imaging based on deep learning can effectively reduce the influence of forward scattering and back scattering of water. With the help of data-driven methods, high-quality results can be reconstructed.
Yang X +8 more
europepmc +2 more sources
Towards Realistic Underwater Dataset Generation and Color Restoration✱ [PDF]
Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing, 2022 Recovery of true color from underwater images is an ill-posed problem. This is because the wide-band attenuation coefficients for the RGB color channels depend on object range, reflectance, etc. which are difficult to model. Also, there is backscattering
Neham Jain, G. Matta, K. Mitra
semanticscholar +3 more sources
Underwater Image Restoration via Contrastive Learning and a Real-World Dataset [PDF]
Remote Sensing, 2022 Underwater image restoration is of significant importance in unveiling the underwater world. Numerous techniques and algorithms have been developed in recent decades. However, due to fundamental difficulties associated with imaging/sensing, lighting, and
Junlin Han +9 more
doaj +2 more sources
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
A Dataset for Detection and Segmentation of Underwater Marine Debris in Shallow Waters
Scientific DataRobust object detection is crucial for automating underwater marine debris collection. While supervised deep learning achieves state-of-the-art performance in discriminative tasks, replicating this success on underwater data is challenging.
Antun Đuraš +4 more
doaj +2 more sources
Eiffel Tower: A deep-sea underwater dataset for long-term visual localization [PDF]
Int. J. Robotics Res., 2023 Visual localization plays an important role in the positioning and navigation of robotics systems within previously visited environments. When visits occur over long periods of time, changes in the environment related to seasons or day-night cycles ...
Clémentin Boittiaux +7 more
semanticscholar +1 more source
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