Results 91 to 100 of about 26,581 (185)

GFRENet: An Efficient Network for Underwater Image Enhancement with Gated Linear Units and Fast Fourier Convolution

Journal of Marine Science and Engineering
Underwater image enhancement is critical for a variety of marine applications such as exploration, navigation, and biological research. However, underwater images often suffer from quality degradation due to factors such as light absorption, scattering ...
Bingxian Zhang, Jiahao Fang, Yujie Li, Yue Wang, Qinglong Zhou, Xing Wang   +5 more
doaj   +1 more source

AMSMC-UGAN: Adaptive Multi-Scale Multi-Color Space Underwater Image Enhancement with GAN-Physics Fusion

Mathematics
Underwater vision technology is crucial for marine exploration, aquaculture, and environmental monitoring. However, the challenging underwater conditions, including light attenuation, color distortion, reduced contrast, and blurring, pose difficulties ...
Dong Chao, Zhenming Li, Wenbo Zhu, Haibing Li, Bing Zheng, Zhongbo Zhang, Weijie Fu   +6 more
doaj   +1 more source

Unveiling the underwater world: CLIP perception model-guided underwater image enhancement

Pattern Recognition
High-quality underwater images are essential for both machine vision tasks and viewers with their aesthetic appeal.However, the quality of underwater images is severely affected by light absorption and scattering. Deep learning-based methods for Underwater Image Enhancement (UIE) have achieved good performance.
Jiangzhong Cao, Zekai Zeng, Xu Zhang, Huan Zhang, Chunling Fan, Gangyi Jiang, Weisi Lin   +6 more
openaire   +2 more sources

Underwater variable zoom: Depth-guided perception network for underwater image enhancement

Expert Systems with Applications
Underwater scenes intrinsically involve degradation problems owing to heterogeneous ocean elements. Prevailing underwater image enhancement (UIE) methods stick to straightforward feature modeling to learn the mapping function, which leads to limited vision gain as it lacks more explicit physical cues (e.g., depth).
Zhixiong Huang, Xinying Wang, Chengpei Xu, Jinjiang Li, Lin Feng   +4 more
openaire   +2 more sources

PGN: Progressively Guided Network with Pixel-Wise Attention for Underwater Image Enhancement

Applied Sciences
Light scattering and attenuation in water degrade underwater images with low visibility and color distortion, which often interfere with the high-level visual tasks of underwater autonomous robots. Most existing deep learning methods for underwater image
Huidi Jia, Qiang Wang, Bo Fu, Zhimin Zheng, Yandong Tang   +4 more
doaj   +1 more source

Multi-scale cascaded attention network for underwater image enhancement

Frontiers in Marine Science
The complexity of underwater environments combined with light attenuation and scattering in water often leads to quality degradation in underwater images, including color distortion and blurred details.
Gaoli Zhao, Yuheng Wu, Ling Zhou, Wenyi Zhao, Weidong Zhang, Weidong Zhang   +5 more
doaj   +1 more source

Underwater image enhancement based on zero-shot learning and level adjustment. [PDF]

Heliyon, 2023
Xie Q, Gao X, Liu Z, Huang H.
europepmc   +1 more source

GAN-based underwater image enhancement and scene classification using transfer learning. [PDF]

PLoS One
Homoud A, Das S.
europepmc   +1 more source

INAM-Based Image-Adaptive 3D LUTs for Underwater Image Enhancement. [PDF]

Sensors (Basel), 2023
Xiao X, Gao X, Hui Y, Jin Z, Zhao H.
europepmc   +1 more source

Impact of Underwater Image Enhancement on Feature Matching. [PDF]

Sensors (Basel)
Summers JM, Jones MW, Seale C.
europepmc   +1 more source