FENet: Underwater Image Enhancement via Frequency Domain Enhancement and Edge-Guided Refinement
Year: 2025
Type: article
Abstract: Underwater images often affect the effectiveness of underwater visual tasks due to problems such as light scattering, color distortion, and detail blurring, limiting their application performance. Existing underwater image en... | Find, read and cite all the research you need on Tech Science Press
Authors: Xinwei Zhu, Jianxun Zhang, Huan Zeng
Institution: Chongqing University of Technology
Language: English
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4415907316