A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network [PDF]
Biomimetics, 2023 Continuous exploration of the ocean has made underwater image processing an important research field, and plenty of CNN (convolutional neural network)-based underwater image enhancement methods have emerged over time.
Yuhan Chen +6 more
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An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network [PDF]
Sensors, 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
Xiao Jiang +6 more
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Underwater Image Enhancement Using a Diffusion Model with Adversarial Learning [PDF]
Journal of ImagingDue to the distinctive attributes of underwater environments, underwater images frequently encounter challenges such as low contrast, color distortion, and noise.
Xueyan Ding +4 more
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Unveiling the hidden depths: advancements in underwater image enhancement using deep learning and auto-encoders [PDF]
PeerJ Computer ScienceUnderwater images hold immense value for various fields, including marine biology research, underwater infrastructure inspection, and exploration activities. However, capturing high-quality images underwater proves challenging due to light absorption and
Jaisuraj Bantupalli +3 more
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Underwater image enhancement via multiscale disentanglement strategy. [PDF]
Sci RepUnderwater images suffer from color casts, low illumination, and blurred details caused by light absorption and scattering in water. Existing data-driven methods often overlook the scene characteristics of underwater imaging, limiting their expressive power.
Yan J +6 more
europepmc +4 more sources
MHF-UIE a multi-task hybrid fusion method for real-world underwater image enhancement [PDF]
Scientific ReportsUnderwater 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 ...
Jian Xu +4 more
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Underwater image enhancement using multi-task fusion. [PDF]
PLoS OneUnderwater images are often scattered due to suspended particles in the water, resulting in light scattering and blocking and reduced visibility and contrast. Color shifts and distortions are also caused by the absorption of different wavelengths of light in the water.
Liao K, Peng X.
europepmc +5 more sources
Model-Based Underwater Image Simulation and Learning-Based Underwater Image Enhancement Method
Information, 2022 Due to the absorption and scattering effects of light in water bodies and the non-uniformity and insufficiency of artificial illumination, underwater images often present various degradation problems, impacting their utility in underwater applications ...
Yidan Liu +7 more
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Lighting the darkness in the sea: A deep learning model for underwater image enhancement
Frontiers in Marine Science, 2022 Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie +5 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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