Results 31 to 40 of about 13,678 (263)
UMGAN: Underwater Image Enhancement Network for Unpaired Image-to-Image Translation
Journal of Marine Science and Engineering, 2023 Due to light absorption and scattering underwater images suffer from low contrast, color distortion, blurred details, and uneven illumination, which affect underwater vision tasks and research.
Boyang Sun +3 more
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UNDERWATER IMAGE ENHANCEMENT BASED ON POLARIZATION IMAGING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The need of high-quality underwater imaging is obviously required in many underwater applications. For example, underwater archaeology, underwater ecological research, underwater object detection and tracking.
L. Shen, Y. Zhao
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A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network
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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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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Underwater image enhancement with Image Colorfulness Measure
CoRR, 2020 Due to the absorption and scattering effects of the water, underwater images tend to suffer from many severe problems, such as low contrast, grayed out colors and blurring content. To improve the visual quality of underwater images, we proposed a novel enhancement model, which is a trainable end-to-end neural model.
Hui Li +3 more
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An In-Depth Survey of Underwater Image Enhancement and Restoration
IEEE Access, 2019 Images taken under water usually suffer from the problems of quality degradation, such as low contrast, blurring details, color deviations, non-uniform illumination, etc.
Miao Yang +5 more
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Deep Underwater Image Enhancement
CoRR, 2018 In an underwater scene, wavelength-dependent light absorption and scattering degrade the visibility of images, causing low contrast and distorted color casts. To address this problem, we propose a convolutional neural network based image enhancement model, i.e., UWCNN, which is trained efficiently using a synthetic underwater image database. Unlike the
Saeed Anwar, Chongyi Li, Fatih Porikli
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MSFE-UIENet: A Multi-Scale Feature Extraction Network for Marine Underwater Image Enhancement
Journal of Marine Science and EngineeringUnderwater optical images have outstanding advantages for short-range underwater target detection tasks. However, owing to the limitations of special underwater imaging environments, underwater images often have several problems, such as noise ...
Shengya Zhao +3 more
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MCCA-Net: Multi-color convolution and attention stacked network for Underwater image classification
Cognitive Robotics, 2022 Underwater images are serious problems affected by the absorption and scattering of light. At present, the existing sharpening methods can't effectively solve all underwater image degradation problems, thus it is necessary to propose a specific solution ...
Peixin Qu +7 more
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Underwater Image Enhancement Based on Hybrid Enhanced Generative Adversarial Network
Journal of Marine Science and Engineering, 2023 In recent years, underwater image processing has played an essential role in ocean exploration. The complexity of seawater leads to the phenomena of light absorption and scattering, which in turn cause serious image degradation problems, making it ...
Danmi Xu +3 more
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