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UIE

Underwater image enhancement is a technique used to improve the quality of underwater images. Due to the unique properties of the underwater environment, images captured underwater often suffer from degradation caused by absorption and scattering of light. These effects can result in low contrast, blurred images with a dominant blue or green color cast. Enhancement techniques aim to correct these issues and improve the visibility within the image. These methods can include color correction to remove the color cast, contrast enhancement to improve the visibility of underwater objects, and dehazing techniques to reduce the scattering effect. These enhancements are crucial in various applications, including underwater exploration, marine biology research, underwater archaeology, and in improving the performance of underwater vision systems used in autonomous underwater vehicles.

Papers

Showing 110 of 56 papers

TitleStatusHype
Adaptive Dual-domain Learning for Underwater Image EnhancementCode2
Crab: A Unified Audio-Visual Scene Understanding Model with Explicit CooperationCode2
Underwater Image Enhancement by Diffusion Model with Customized CLIP-ClassifierCode2
UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video EnhancementCode2
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information ExtractionCode2
YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information ExtractionCode2
Unified Structure Generation for Universal Information ExtractionCode2
Underwater Image Enhancement with Cascaded Contrastive LearningCode1
Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit ModelsCode1
O-Mamba: O-shape State-Space Model for Underwater Image EnhancementCode1
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