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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 5156 of 56 papers

TitleStatusHype
A Comprehensive Survey on Underwater Image Enhancement Based on Deep LearningCode0
RUIE: Retrieval-based Unified Information Extraction using Large Language ModelCode0
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image EnhancementCode0
UIERL: Internal-External Representation Learning Network for Underwater Image EnhancementCode0
UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image EnhancementCode0
Underwater Image Enhancement by Convolutional Spiking Neural NetworksCode0
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