CDDU: Convolutional Dictionary Deep Unfolding Network for Underwater Image Enhancement

Baocai Chang; Genji Yuan; Jinjiang Li

doi:10.1109/tim.2025.3584116

ScienceGate Book Chapters

JOURNAL ARTICLE

CDDU: Convolutional Dictionary Deep Unfolding Network for Underwater Image Enhancement

Baocai Chang Genji Yuan Jinjiang Li

Year: 2025 Journal: IEEE Transactions on Instrumentation and Measurement Vol: 74 Pages: 1-18 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tim.2025.3584116

Get Full-Text PDF Get Analytical Report

Keywords:

Convolutional neural network Computer science Artificial intelligence Underwater Image enhancement Image (mathematics) Speech recognition Pattern recognition (psychology) Computer vision Computer graphics (images) Geology

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.21

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Underwater Acoustics Research

Physical Sciences → Earth and Planetary Sciences → Oceanography

CDDU: Convolutional Dictionary Deep Unfolding Network for Underwater Image Enhancement

Metrics

Topics

Related Documents

Transmission map-guided deep unfolding network for underwater image enhancement

DUCD: Deep Unfolding Convolutional-Dictionary network for pansharpening remote sensing image

Deep Unfolding Network with Physics-Based Priors for Underwater Image Enhancement

DEEP UNFOLDING NETWORK WITH PHYSICS-BASED PRIORS FOR UNDERWATER IMAGE ENHANCEMENT

Model-driven deep unfolding approach to underwater image enhancement