Image fusion algorithm based on unsupervised deep learning-optimized sparse representation-Reference-Cited by-同舟云学术

Image fusion algorithm based on unsupervised deep learning-optimized sparse representation

Published:2022-01 Issue: Volume:71 Page:103140
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

An Feng-Ping,Ma Xing-min,Bai Lei

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference36 articles.

1. Infrared and visible image fusion methods and applications: A survey;Ma;Information Fusion,2019

2. Unmanned Aerial vehicle’s runway landing system with efficient target detection by using morphological fusion for military surveillance system;Nagarani;Computer Communications,2020

3. Transmitter beamforming and weighted image fusion–based multiple signal classification algorithm for corrosion monitoring;Bao;Structural Health Monitoring,2019

4. Multimodal medical image fusion based on deep learning neural network for clinical treatment analysis;Rajalingam;International Journal of Chem Tech Research,2018

5. Ensemble of CNN for multi-focus image fusion;Amin-Naji;Information fusion,2019

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RAN: Infrared and Visible Image Fusion Network Based on Residual Attention Decomposition;Electronics;2024-07-19

2. Fusion of infrared and visible images via multi-layer convolutional sparse representation;Journal of King Saud University - Computer and Information Sciences;2024-07

3. A Visible and Synthetic Aperture Radar Image Fusion Algorithm Based on a Transformer and a Convolutional Neural Network;Electronics;2024-06-17

4. Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study;Artificial Intelligence Review;2024-05-02

5. Multi-Scale Attention U-Net for Optic Disc and Optic Cup Segmentation in Retinal Fundus Images;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02