CMIF

Fast computation of cross-mutual information function (CMIF) in the frequency domain
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Actualizado 19 nov 2023

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

Citar como

Joakim Lindblad (2025). CMIF (https://github.com/MIDA-group/CMIF), GitHub. Recuperado .

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.

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Compatibilidad con la versión de MATLAB
Se creó con R2023b
Compatible con cualquier versión
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1.0.0

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