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Objective image fusion performance measure
Abstract
A measure for objectively assessing the pixel level fusion performance is defined. The proposed metric reflects the quality of visual information obtained from the fusion of input images and can be used to compare the performance of different image fusion algorithms. Experimental results clearly indicate that this metric is perceptually meaningful.
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Cited by
Azam, M. A., Khan, K. B., Salahuddin, S., Rehman, E., Khan, S. A., Khan, M. A., Kadry, S., & Gandomi, A. H. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105253 · Cited by 449
Full spectrum sharing in cognitive radio networks toward 5G: a survey
Hu, F., Chen, B., & Zhu, K. (2018) · IEEE Access · doi:10.1109/access.2018.2802450 · Cited by 321
Blind image quality assessment through anisotropy
Gabarda, S., & Cristóbal, G. (2007) · Journal of the Optical Society of America A · doi:10.1364/josaa.24.000b42 · Cited by 301
Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models
Yue, J., Fang, L., Xia, S., Deng, Y., & Ma, J. (2023) · IEEE Transactions on Image Processing · doi:10.1109/tip.2023.3322046 · Cited by 304
Multilevel features convolutional neural network for multifocus image fusion
Yang, Y., Nie, Z., Huang, S., Lin, P., & Wu, J. (2019) · IEEE Transactions on Computational Imaging · doi:10.1109/tci.2018.2889959 · Cited by 103
DM-Fusion: Deep Model-Driven Network for Heterogeneous Image Fusion
Xu, G., He, C., Wang, H., Zhu, H., & Ding, W. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3238511 · Cited by 57
Xu, S., Ji, L., Wang, Z., Li, P., Sun, K., Zhang, C., & Zhang, J. (2020) · IEEE Transactions on Computational Imaging · doi:10.1109/tci.2020.3039564 · Cited by 47
Multi-Focus Image Fusion: Algorithms, Evaluation, and a Library
Zafar, R., Farid, M. S., & Khan, M. H. (2020) · Journal of Imaging · doi:10.3390/jimaging6070060 · Cited by 29
Metadata
- Authors
- Xydeas, C. S., & Petrović, V.
- Venue
- Electronics Letters
- Published
- 2000-02-17
- Volume
- 36
- Issue
- 4
- Pages
- 308-309
- ISSN
- 0013-5194 (ISSN-L)
- 1350-911X
- OpenAlex
- W2091484864
- Cited by
- 1,996
- References
- 0
- FWCI
- 6.16
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
