A Novel Wavelet Medical Image Fusion Method

This paper proposes a novel global energy merging scheme that is a region-based analysis approach. At first, multi-resolution wavelet decomposition on each source image is performed, and then the energy of the each 3*3 matrix region is calculated. The match measure can produce using wavelet decomposition coefficient and the energy. The three high frequency coefficients of the merging image produce through comparing match measure of several source images. And the low frequency coefficient lies on the choice of the three high frequency coefficient. Finally, by applying the inverse wavelet transform the final fused image is obtained. The composite images can preserve more relevant information about the edges. Experiments showed that the proposed wavelet image fusion method can have better performance than existing medical image fusion methods.