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Information measure for performance of image fusion
Open accessAbstract
Mutual information is proposed as an information measure for evaluating image fusion performance. The proposed measure represents how much information is obtained from the input images. No assumption is made regarding the nature of the relation between the intensities in both input modalities. The results show that the measure is meaningful and explicit.
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Cited by
Liu, J., Fan, X., Huang, Z., Wu, G., Liu, R., Zhong, W., & Luo, Z. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.00571 · Cited by 1,336
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
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
- Qu, G., Zhang, D., & Yan, P.
- Venue
- Electronics Letters
- Published
- 2002-03-28
- Volume
- 38
- Issue
- 7
- Pages
- 313-315
- ISSN
- 0013-5194 (ISSN-L)
- 1350-911X
- OpenAlex
- W1964641132
- Cited by
- 1,427
- References
- 0
- FWCI
- 29.96
- Type
- journal article
- Language
- en
- Open access
- green
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