The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Image fusion metric based on mutual information and Tsallis entropy
Abstract
A novel image fusion performance metric using mutual information is proposed. The metric is based on Tsallis entropy, which is a one-parameter generalisation of Shannon entropy. Experimental results have confirmed that the proposed metric outperforms the standard MI metric by correlating better with the subjective quality of fused images.
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Citations
Cites
Possible generalization of Boltzmann-Gibbs statistics
Tsallis, C. (1988) · Journal of Statistical Physics · doi:10.1007/bf01016429 · Cited by 9,589
Cited by
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
Metadata
- Authors
- Cvejic, N., Canagarajah, C. N., & Bull, D. R.
- Venue
- Electronics Letters
- Published
- 2006-05-25
- Volume
- 42
- Issue
- 11
- Pages
- 626-627
- ISSN
- 0013-5194 (ISSN-L)
- 1350-911X
- OpenAlex
- W2117382194
- Cited by
- 230
- References
- 1
- FWCI
- 16.35
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
