Results 51 to 60 of about 26,581 (185)
Medium Transmission Map Matters for Learning to Restore Real-World Underwater Images
Low illumination, light reflections, scattering, absorption, and suspended particles inevitably lead to critically degraded underwater image quality, which poses great challenges for recognizing objects from underwater images.
Kai Yan +4 more
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Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs
Underwater images suffer from color distortion, low contrast and blurring caused by the attenuation, refraction, and scattering of light. For many maritime operations, underwater image enhancement is essential.
Liqiong Lu +4 more
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A Review of Underwater Image Enhancement and Restoration Techniques Based on Gan [PDF]
In recent years, underwater image enhancement and restoration technology have significantly contributed to the efficiency of marine operations and the advancement of seabed resource development, which carries substantial academic significance and ...
Zhao Xin
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A review of miniaturised Non-Destructive Testing technologies for in-situ inspections [PDF]
Non-destructive testing (NDT) techniques have become attractive trends of product manufacturing, installation and post-maintenance in the aerospace, automotive and manufacturing industry, because of its benefits such as cost saving, easy to use and high ...
Addepalli +12 more
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Underwater Image Enhancement Based on Color Balance and Multi-Scale Fusion
Underwater light absorption and scattering lead to color deviation, low brightness, fuzzy details and low contrast of underwater images. In this contribution, an underwater image enhancement algorithm based on color balance and multi-scale fusion is ...
Qi Chen, Ze Zhang, Gelun Li
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In recent years, with the increasing interest in marine research, the need to collect and process clear underwater optical images has become crucial. However, underwater images suffer from the absorption and scattering effects of the environment. In this
Ozan Demir +2 more
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This study proposes Combining Attention and Brightness Adjustment Network (CABA-Net), a deep learning network for underwater image restoration, to address the issues of underwater image color-cast, low brightness, and low contrast.
Jianhua Zheng +6 more
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An Underwater SLAM System using Sonar, Visual, Inertial, and Depth Sensor
This paper presents a novel tightly-coupled keyframe-based Simultaneous Localization and Mapping (SLAM) system with loop-closing and relocalization capabilities targeted for the underwater domain.
Li, Alberto Quattrini +2 more
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MSFE-UIENet: A Multi-Scale Feature Extraction Network for Marine Underwater Image Enhancement
Underwater 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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Underwater image enhancement via LBP‐based attention residual network
Owing to the influence of light absorption and scattering in underwater environments, underwater images exhibit color deviation, low contrast and detail blur, and other degradations.
ZhiXiong Huang, Jinjiang Li, Zhen Hua
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