CMIF
Fast computation of cross-mutual information function (CMIF) in the frequency domain
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CMIF
Fast computation of cross-mutual information function (CMIF) in the frequency domain
This aims to be a faithful implementation of fast CMIF [1], in brief, well commented and clean MATLAB code. See example in the 'help' text for usage instructions. Code is reasonably fast, if not using too many quantization levels. If you find it useful, please cite [1].
A more optimized python implementation can be found here: https://github.com/MIDA-group/globalign
/ Joakim
References
[1] Johan Öfverstedt, Joakim Lindblad, and Nataša Sladoje. Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. Pattern Recognition Letters, Vol. 159, pp. 196-203, 2022. doi:10.1016/j.patrec.2022.05.022
Cite As
Joakim Lindblad (2026). CMIF (https://github.com/MIDA-group/CMIF), GitHub. Retrieved .
Öfverstedt, Johan, et al. “Fast Computation of Mutual Information in the Frequency Domain with Applications to Global Multimodal Image Alignment.” Pattern Recognition Letters, vol. 159, Elsevier BV, July 2022, pp. 196–203, doi:10.1016/j.patrec.2022.05.022.
General Information
- Version 1.0.0 (3.89 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
