Multimodal medical image fusion, as a puissant tool for numerous clinical diagnoses, has developed with the advent of various imaging modalities in the field of medicine. This paper proposes a novel image fusion approach to effectively solve a concurrent problem of spatial characteristics and spectral information in the fused image. As we all know, the intensity-huesaturation (IHS) transform and retina-inspired model (RIM) fusion technique can preserve more spatial features and more spectral

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... ormation contents, respectively. However, principal component analysis (PCA) algorithm can extract main feature to minimize redundancy. The proposed algorithm integrates their advantages and powerfully improves fused image quality to avoid color distortions. The experiment demonstrates that the proposed algorithm outperforms state-of-the-art fusion approaches such as PCA, Brovey, RIM, discrete wavelet transform (DWT) in light of visual effect and quantitative evaluation.