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MHF-UIE a multi-task hybrid fusion method for real-world underwater image enhancement. [PDF]
Sci RepUnderwater image quality often deteriorates, posing significant challenges in extracting underwater information and affecting advanced visual tasks, for instance, tasks in various fields such as oceanography, marine biology, underwater exploration ...
Xu J, Kiah MLM, Noor RM, Por LY, Wu Y.
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Domain Adaptation for Underwater Image Enhancement via Content and Style Separation
IEEE Access, 2022 Underwater image suffer from color cast, low contrast and hazy effect, which degraded the high-level vision application. Recent learning-based methods demonstrate astonishing performance on underwater image enhancement, however, most of these works use ...
Yu-Wei Chen, Soo-Chang Pei
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Underwater image enhancement network based on visual Transformer with multiple loss functions fusion
智能科学与技术学报, 2022 Due to the absorption and scattering of light in water, the images captured by underwater robots suffer from color distortion and reduced contrast.Aiming at alleviating the quality degradation phenomenon of underwater images, an underwater image ...
Xiaofeng CONG, Jie GUI, Jun ZHANG
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Underwater Image Enhancement Based on Adaptive Color Correction and Improved Retinex Algorithm
IEEE Access, 2023 In order to solve the problems about color distortion and low contrast of underwater images, we propose an underwater image enhancement algorithm that combines adaptive color correction with improved Retinex algorithm.
Shijie Lin +4 more
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Unpaired Underwater Image Enhancement Based on CycleGAN
Information, 2021 Underwater image enhancement recovers degraded underwater images to produce corresponding clear images. Image enhancement methods based on deep learning usually use paired data to train the model, while such paired data, e.g., the degraded images and the
Rong Du +4 more
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Uncertainty Inspired Underwater Image Enhancement
, 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 with certainty. This kind of method fails to handle the ambiguity of the reference map.
Zhenqi Fu +4 more
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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
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An Underwater Image Enhancement Algorithm Based on MSR Parameter Optimization
Journal of Marine Science and Engineering, 2020 The quality of underwater images is often affected by the absorption of light and the scattering and diffusion of floating objects. Therefore, underwater image enhancement algorithms have been widely studied. In this area, algorithms based on Multi-Scale
Kai Hu +4 more
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An Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning
Journal of Marine Science and Engineering, 2022 Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the optical characteristics of water bodies, underwater video images generally have problems such as ...
Kai Hu +4 more
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Adaptive Underwater Image Enhancement Techniques Using Deep Learning
Applied System InnovationUnderwater images often suffer from degradations, including color distortion, reduced visibility, and low contrast due to light absorption and scatter in water.
Alexandros Vrochidis, Stelios Krinidis
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