Attention-Guided Global-Local Adversarial Learning for Detail-Preserving Multi-Exposure Image Fusion
Author:
Affiliation:
1. School of Software Technology, Dalian University of Technology, Dalian, China
2. DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
LiaoNing Revitalization Talents Program
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/9849156/09684913.pdf?arnumber=9684913
Reference69 articles.
1. Edge-preserving smoothing pyramid based multi-scale exposure fusion
2. Exposure Fusion: A Simple and Practical Alternative to High Dynamic Range Photography
3. Gradient field multi-exposure images fusion for high dynamic range image visualization
4. Probabilistic Exposure Fusion
5. Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach
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