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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
RD-UIE: Relation-Driven State Space Modeling for Underwater Image EnhancementCode0
Adaptive Dual-domain Learning for Underwater Image EnhancementCode2
Underwater Image Enhancement by Convolutional Spiking Neural NetworksCode0
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach0
Crab: A Unified Audio-Visual Scene Understanding Model with Explicit CooperationCode2
Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution0
Label Drop for Multi-Aspect Relation Modeling in Universal Information ExtractionCode0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration0
Underwater Image Enhancement with Cascaded Contrastive LearningCode1
Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit ModelsCode1
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