A fusion approach to multi-focus images using residual network
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0107297
Reference23 articles.
1. Hui Li and Xiao-Jun Wu, "DenseFuse: A fusion approach to infrared and visible images", IEEE Transactions on image processing, Vol. 28, No. 5, May2019.
2. Xingchen Zhang, "Multi-focus Image Fusion: A Benchmark", Journal of Latex Class Files, May 2020.
3. Q. Zhang, T. Shi, F. Wang, R. S. Blum, and J. Han, "Robust sparse representation based multi-focus image fusion with dictionary construction and local spatial consistency", 299–313, 2018.
4. Q. Zhang, Y. Liu, R. S. Blum, J. Han, and D. Tao, "Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review, "InformationFusion,vol.40,pp.57–75,2018.
5. Multi-focus image fusion method using energy of Laplacian and a deep neural network
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