Multi-scale feature enhancement and fusion network for real-world infrared image denoising

Xuhui Zhang; Guangsheng Chen; Ziyan Chen; Heng Wu; Zhuowei Wang; Lianglun Cheng; Aimin Yang

doi:10.1016/j.infrared.2025.105833

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-scale feature enhancement and fusion network for real-world infrared image denoising

Xuhui Zhang Guangsheng Chen Ziyan Chen Heng Wu Zhuowei Wang Lianglun Cheng Aimin Yang

Year: 2025 Journal: Infrared Physics & Technology Vol: 148 Pages: 105833-105833 Publisher: Elsevier BV

DOI: 10.1016/j.infrared.2025.105833

Get Full-Text PDF Get Analytical Report

Keywords:

Infrared Feature (linguistics) Scale (ratio) Computer science Artificial intelligence Noise reduction Image enhancement Image fusion Fusion Pattern recognition (psychology) Image (mathematics) Computer vision Materials science Optics Physics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.08

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-scale feature enhancement and fusion network for real-world infrared image denoising

Metrics

Topics

Related Documents

Self-Supervised Real-World Image Denoising Based on Multi-Scale Feature Enhancement and Attention Fusion

Multi-scale network toward real-world image denoising

A multi-scale adaptive feature enhancement network for image denoising

Multi-scale information fusion generative adversarial network for real-world noisy image denoising

Grouped Multi-Scale Network for Real-World Image Denoising