摘要Objective This paper proposed a novel algorithm of discrete wavelet transform (DWT)
which is used for multimodal medical image fusion. Methods The source medical images are initially
transformed by DWT followed by fusing low and high frequency sub-images. Then, the “coefficient
absolute value” that can provide clear and detail parts is adapted to fuse high-frequency coefficients,
where as the “region energy ratio” which can efficiently preserve most information of source images is
employed to fuse low-frequency coefficients. Finally, the fused image is reconstructed by inverse wavelet
transform. Results Visually and quantitatively experimental results indicate that the proposed fusion
method is superior to traditional wavelet transform and the existing fusion methods. Conclusion The
proposed method is a feasible approach for multimodal medical image fusion which can obtain more
efficient and accurate fusions results even in the noise environment.
