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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 1120 of 56 papers

TitleStatusHype
RUIE: Retrieval-based Unified Information Extraction using Large Language ModelCode0
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU0
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image EnhancementCode0
O-Mamba: O-shape State-Space Model for Underwater Image EnhancementCode1
UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image EnhancementCode0
Mamba-UIE: Enhancing Underwater Images with Physical Model ConstraintCode0
Image-Conditional Diffusion Transformer for Underwater Image Enhancement0
A Physical Model-Guided Framework for Underwater Image Enhancement and Depth EstimationCode0
IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement0
PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image EnhancementCode1
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