Matlab Code for Convolutional CFL for MMIF


Farshad G. Veshki and Sergiy A. Vorobyov

License and Referencing

This code package is licensed under the GPLv2 license. If you in any way use this code for research that results in publications, please cite our original article F.G. Veshki and S.A. Vorobyov, "Coupled feature learning via structure convolutional sparse coding for miltimodal image fusion," in Proc. 47th IEEE Int. Conf. Acoustics, Speech, and Signal Processing, ICASSP'22, Singapore, May 2227, 2022, pp. 2500–2504.

Purpose

This is a code package is related to the following scientific article:

 

F.G. Veshki and S.A. Vorobyov, "Coupled feature learning via structure convolutional sparse coding for miltimodal image fusion," in Proc. 47th IEEE Int. Conf. Acoustics, Speech, and Signal Processing, ICASSP'22, Singapore, May 2227, 2022, pp. 2500–2504.

The package contains a simulation environment, based on Matlab, that reproduces all the numerical results and figures in the article. We encourage you to also perform reproducible research!

Feedback

Please report any bugs to Sergiy A. Vorobyov <svor@ieee.org>.

Download

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