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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 41–50 of 56 papers

TitleStatusHype
UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image EnhancementCode0
Underwater Image Enhancement by Convolutional Spiking Neural NetworksCode0
UIF: An Objective Quality Assessment for Underwater Image Enhancement—0
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU—0
A Real-Time Framework for Domain-Adaptive Underwater Object Detection with Image Enhancement—0
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction—0
Semi-supervised Underwater Image Enhancement Using A Physics-Aware Triple-Stream Network—0
Image-Conditional Diffusion Transformer for Underwater Image Enhancement—0
IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement—0
Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems—0
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