Medical image fusion using discrete fractional wavelet transform

A multimodal medical image fusion method based on discrete fractional wavelet (DFRWT) is presented in this paper. With a change in p order in domain (0,1], source medical images are decomposed by DFRWT in different p order. The sparsity character of the mode coefficients in subband images changes. According to the method, to enhance the correlation between subband coefficients, the non-sparsity character of the mode coefficients in low p order should be utilized. The coefficients of the all subbands are fused using the weighted regional variance rule. Finally, inverse DFRWT is applied to obtain a fused image. Subjective and objective analyses of the results and comparisons with other multiresolution domain techniques show the effectiveness of the proposed scheme in fusing multimodal medical images. (C) 2016 Elsevier Ltd. All rights reserved.