Multi-focus image fusion with alternating guided filtering-Reference-Cited by-同舟云学术

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Multi-focus image fusion with alternating guided filtering

Published:2018-12-14 Issue:4 Volume:13 Page:727-735
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Zhang Yongxin,Wei Wei,Yuan Yating

Funder

National Natural Science Foundation of China

Henan Province Basic and Cutting-Edge Technology Research Project of China

Postdoctoral Science Foundation of Jiangsu Province

International Science & Technology Cooperation Program of China

Science and Technology Opening up Cooperation project of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s11760-018-1402-x.pdf

Reference44 articles.

1. Ramlal, S.D., Sachdeva, J., Ahuja, C.K.: Multimodal medical image fusion using non-subsampled shearlet transform and pulse coupled neural network incorporated with morphological gradient. Signal Image Video Process. 12, 869–876 (2018)

2. Yang, Y., Que, Y., Huang, S.Y., Pan, L.: Technique for multi-focus image fusion based on fuzzy-adaptive pulse-coupled neural network. Signal Image Video Process. 11(3), 439–446 (2017)

3. Zhang, Y., Chen, L., Jia, J.: Multi-focus image fusion based on non-negative matrix factorization and difference images. Signal Process. 105, 84–97 (2014)

4. Zhang, Y.: Multi-focus image fusion based on sparse decomposition. IJSIP 8, 157–164 (2015)

5. Saboori, A., Birjandtalab, J.: PET–MRI image fusion using adaptive filter based on spectral and spatial discrepancy. Signal Image Video Process. (2018). https://doi.org/10.1007/s11760-018-1338-1

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