Using denoising to improve image fusion performance
by Michel Ouendeno, Samuel P. Kozaitis
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 1, No. 2, 2008

Abstract: We applied an image fusion approach that uses different wavelet transforms for the forward and reconstruction transforms to efficiently compact energy for improved reconstruction. In addition, we used denoising to reduce the error induced by this approach. We found that using such an approach generally increases the Average Relative Entropy (ARE) of the fused result when compared to a conventional image fusion method.

Online publication date: Fri, 24-Oct-2008

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