基于 JBF 与 MLNE 的图像融合方法

To address the poor fusion quality and low computational efficiency of multimodal medical image fusion methods. In this paper, an image fusion method based on joint bilateral filtering (JBF) and multi-order local region energy (MLNE) is proposed. The method firstly decomposes the input image into energy and structure layers; then for the fusion of energy and structure layers, a fusion scheme based on MLRE and local area L₂ norm taking large values is proposed respectively; finally, the fused energy and structure layers are summed to obtain the fused image. The experimental results of medical image fusion with one groups of different modalities prove that the present method outperforms other comparative methods in terms of fusion performance, computational efficiency, and visual evaluation.