Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques
In recent years, with the increasing interest in marine research, the need to collect and process clear underwater optical images has become crucial. However, underwater images suffer from the absorption and scattering effects of the environment. In this paper, we propose Hybrid Underwater Image Enh...
Saved in:
Main Authors: | Ozan Demir, Metin Aktas, Ender M. Eksioglu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10857292/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking
by: Mahmoud Elmezain, et al.
Published: (2025-01-01) -
Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study
by: Ashraf Saleem, et al.
Published: (2025-01-01) -
PGN: Progressively Guided Network with Pixel-Wise Attention for Underwater Image Enhancement
by: Huidi Jia, et al.
Published: (2025-01-01) -
Enhancing Underwater Video from Consecutive Frames While Preserving Temporal Consistency
by: Kai Hu, et al.
Published: (2025-01-01) -
Robust underwater object tracking with image enhancement and two-step feature compression
by: Jiaqing Li, et al.
Published: (2025-01-01)