A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network. [PDF]
Biomimetics (Basel), 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.
Chen Y +6 more
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An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network. [PDF]
Sensors (Basel), 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
Jiang X +6 more
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Unveiling the hidden depths: advancements in underwater image enhancement using deep learning and auto-encoders. [PDF]
PeerJ Comput SciUnderwater 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
Bantupalli J +3 more
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Underwater Image Enhancement Using a Diffusion Model with Adversarial Learning. [PDF]
J ImagingDue to the distinctive attributes of underwater environments, underwater images frequently encounter challenges such as low contrast, color distortion, and noise.
Ding X, Chen X, Sui Y, Wang Y, Zhang J.
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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
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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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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
Vision applications in agriculture [PDF]
, 2007 From early beginnings in work on the visual guidance of tractors, the National Centre for Engineering in Agriculture has built up a portfolio of projects in which machine vision plays a prominent part.
Billingsley, John
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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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Fast underwater image enhancement based on a generative adversarial framework
Frontiers in Marine Science, 2023 Underwater image enhancement is a fundamental requirement in the field of underwater vision. Along with the development of deep learning, underwater image enhancement has made remarkable progress. However, most deep learning-based enhancement methods are
Yang Guan +8 more
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