Medical Image Fusion Based on Wavelet Multi-Scale Decomposition


This paper describes a method to decompose multi-scale information from different source medical image using wavelet transformation. The data fusion between CT image and MRI image is implemented based on the coefficients fusion rule which included choice of regional variance and weighted average wavelet information. The result indicates that this method is better than WMF, LEF and RVF on fusion results, details and target distortion.

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H. Zhu, B. Wu and P. Ren, "Medical Image Fusion Based on Wavelet Multi-Scale Decomposition," Journal of Signal and Information Processing, Vol. 4 No. 2, 2013, pp. 218-221. doi: 10.4236/jsip.2013.42029.

Conflicts of Interest

The authors declare no conflicts of interest.


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