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WaterPairs: a paired dataset for underwater image enhancement and underwater object detection
Due to its importance in marine engineering and aquatic robotics, underwater image enhancement works as a preprocessing step to improve the...
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Underwater image enhancement based on weighted guided filter image fusion
An underwater image enhancement technique based on weighted guided filter image fusion is proposed to address challenges, including optical...
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Attention-based color consistency underwater image enhancement network
Underwater images often exhibit color deviation, reduced contrast, distortion, and other issues due to light refraction, scattering, and absorption....
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UICE-MIRNet guided image enhancement for underwater object detection
Underwater object detection is a crucial aspect of monitoring the aquaculture resources to preserve the marine ecosystem. In most cases, Low-light...
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Global Dense Two-Branch Cascade Network for Underwater Image Enhancement
In recent years, underwater image enhancement techniques has received a wide range of attention from related researchers with the rise of marine...
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A Two-Stage Approach for Underwater Image Enhancement Via Color-Contrast Enhancement and Trade-Off
The underwater imaging environment is very different from land, and some common land image enhancement methods are often not applicable to the...
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A novel highland and freshwater-circumstance dataset: advancing underwater image enhancement
As an important underlying visual processing task, underwater image enhancement techniques have received a lot of attention from researchers due to...
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Underwater image enhancement using lightweight vision transformer
Deep learning-based models have recently shown a strong potential in Underwater Image Enhancement (UIE) that are satisfying and have the right colors...
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Underwater image enhancement method based on a cross attention mechanism
Underwater image enhancement is a technique that improves the quality of underwater images, which makes them clearer and more realistic. However,...
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Underwater image enhancement using scale-patch synergy transformer
In the past few years, underwater image enhancement has attracted an increasing amount of research work because it plays an important role in...
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Towards domain adaptation underwater image enhancement and restoration
Currently, deep convolutional neural networks have made significant research progress in the field of underwater image enhancement and restoration....
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Effective adversarial transfer learning for underwater image enhancement with hybrid losses
Underwater images often suffer from degradation caused by light attenuation and turbidity, resulting in poor image quality. Due to the domain gap...
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Zero-reference single underwater image enhancement
Underwater images play an essential role in acquiring and analyzing underwater information. Autonomous Underwater Vehicles (AUVs) highly rely on the...
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Underwater image enhancement algorithm based on color correction and contrast enhancement
Due to the complex underwater environment and the selective absorption and scattering effect of water on light waves, underwater images often suffer...
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Underwater image enhancement via variable contrast and saturation enhancement model
Since underwater optical imaging is affected by underwater light absorption and attenuation, the pixels of images distribute unevenly, and image...
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Underwater image restoration and enhancement: a comprehensive review of recent trends, challenges, and applications
In recent years, underwater exploration for deep-sea resource utilization and development has a considerable interest. In an underwater environment,...
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Underwater image enhancement via color conversion and white balance-based fusion
The task of enhancing underwater images presents a significant challenge due to the refraction and absorption of light in water, resulting in images...
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A diverse underwater image formation model for underwater image restoration
The underwater images (UWIs) are one of the most effective sources to collect information about the underwater environment. Due to the irregular...
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Optimizing underwater image enhancement: integrating semi-supervised learning and multi-scale aggregated attention
Underwater image enhancement is critical for advancing marine science and underwater engineering. Traditional methods often struggle with color...
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Msap: multi-scale attention probabilistic network for underwater image enhancement network
Underwater image enhancement is a key technology for improving underwater image quality and enhancing visualization. Due to the light propagation...
