CMIF

Version 1.0.0 (3.89 KB) by Joakim Lindblad
Fast computation of cross-mutual information function (CMIF) in the frequency domain
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Updated 19 Nov 2023
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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 (2024). 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.

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MATLAB Release Compatibility
Created with R2023b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.