Mutual-Guided Dynamic Network for Image Fusion

Author:

Guan Yuanshen1ORCID,Xu Ruikang1ORCID,Yao Mingde1ORCID,Wang Lizhi2ORCID,Xiong Zhiwei1ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference74 articles.

1. Adaptive Near-Infrared and Visible Fusion for Fast Image Enhancement

2. DM Bulanon , TF Burks , and V Alchanatis . 2009. Image fusion of visible and thermal images for fruit detection. Biosystems engineering 103, 1 ( 2009 ), 12--22. DM Bulanon, TF Burks, and V Alchanatis. 2009. Image fusion of visible and thermal images for fruit detection. Biosystems engineering 103, 1 (2009), 12--22.

3. Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images

4. Real-time edge-aware image processing with the bilateral grid

5. Yin Chen and Rick S Blum . 2009. A new automated quality assessment algorithm for image fusion. Image and vision computing 27, 10 ( 2009 ), 1421--1432. Yin Chen and Rick S Blum. 2009. A new automated quality assessment algorithm for image fusion. Image and vision computing 27, 10 (2009), 1421--1432.

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