DMEF: Multi-Exposure Image Fusion Based on a Novel Deep Decomposition Method-Reference-Cited by-同舟云学术

DMEF: Multi-Exposure Image Fusion Based on a Novel Deep Decomposition Method

Published:2022 Issue: Volume: Page:1-14
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Wu Kangle¹,Chen Jun¹^ORCID,Ma Jiayi²^ORCID

Affiliation:

1. School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, China University of Geosciences, Wuhan, China

2. Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09855870.pdf?arnumber=9855870

Cited by 5 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. CurveMEF: Multi-exposure fusion via curve embedding network;Neurocomputing;2024-09

2. Searching a Compact Architecture for Robust Multi-Exposure Image Fusion;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

3. OFPF-MEF: An Optical Flow Guided Dynamic Multi-Exposure Image Fusion Network With Progressive Frequencies Learning;IEEE Transactions on Multimedia;2024

4. Deep Rank-N Decomposition Network for Image Fusion;IEEE Transactions on Multimedia;2024

5. MERF: A Practical HDR-Like Image Generator via Mutual-Guided Learning Between Multi-Exposure Registration and Fusion;IEEE Transactions on Image Processing;2024