Multi-Exposure Image Fusion via Deformable Self-Attention-Reference-Cited by-同舟云学术

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Multi-Exposure Image Fusion via Deformable Self-Attention

Published:2023 Issue: Volume:32 Page:1529-1540
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Luo Jun¹^ORCID,Ren Wenqi²^ORCID,Gao Xinwei³,Cao Xiaochun²^ORCID

Affiliation:

1. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

2. School of Cyber Science and Technology, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China

3. Wechat Business Group, Tencent, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Shenzhen Science and Technology Program

2022 Tencent Wechat Rhino-Bird Focused Research Program Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10042238.pdf?arnumber=10042238

Reference42 articles.

1. Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning

2. Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity

3. Deep Prior Guided Network For High-Quality Image Fusion

4. Image Fusion With Guided Filtering

5. Deep high dynamic range imaging of dynamic scenes

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4. EDOM-MFIF: an end-to-end decision optimization model for multi-focus image fusion;Applied Intelligence;2024-08-20

5. Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics;Multimedia Systems;2024-07-05

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