IBPNet: a multi-resolution and multi-modal image fusion network via iterative back-projection-Reference-Cited by-同舟云学术

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IBPNet: a multi-resolution and multi-modal image fusion network via iterative back-projection

Published:2022-03-21 Issue:14 Volume:52 Page:16185-16201
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Liu Chang,Yang Bin^ORCID,Zhang Xiaozhi,Pang Lihui

Funder

national natural science foundation of china

chuanshan talent project of the university of south china

the construct program of key disciplines in usc

scientific research fund of hengyang science and technology bureau

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03375-w.pdf

Reference38 articles.

1. Liu Q, Teng Q, Chen H, Li B, Qing L (2021) Dual adaptive alignment and partitioning network for visible and infrared cross-modality person re-identification. Appl Intell, 1–17. https://doi.org/10.1007/s10489-021-02390-7

2. Fu Y, Wu XJ, Durrani T (2021) Image fusion based on generative adversarial network consistent with perception. Inform Fusion 72:110–125. https://doi.org/10.1016/j.inffus.2021.02.019

3. Ao F, Pádua FLC, Lacerda A, Machado AC, Dalip DH (2019) Multimodal data fusion framework based on autoencoders for top-n recommender systems. Appl Intell 49(9):3267–3282. https://doi.org/10.1007/s10489-019-01430-7

4. Li H, Li X, Yu Z, Mao C (2016) Multifocus image fusion by combining with mixed-order structure tensors and multiscale neighborhood. Inform Sci Int J 349-350:25–49. https://doi.org/10.1016/j.ins.2016.02.030

5. Huang Y, Li W, Gao M (2018) Algebraic multi-grid based multi-focus image fusion using watershed algorithm. IEEE Access 6:47082–47091. https://doi.org/10.1109/access.2018.2866867

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visible and Infrared Image Fusion Using Deep Learning;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-08

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