A Novel Wavelet Medical Image Fusion Method
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
Self-Invertible 2D Log-Gabor Wavelets
International Journal of Computer Vision
MRI and PET image fusion by combining IHS and retina-inspired models
Information Fusion
Using Human Visual System modeling for bio-inspired low level image processing
Computer Vision and Image Understanding
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A new method of medical image fusion is proposed in this paper, which is based on human visual models and IHS color space. Retina-inspired difference of Gaussian model is adopted to enhance the spatial information of anatomical images. Also, 2D Log-Gabor model of primary visual cortex is used to enhance the spectrum information of functional images. The statistical analyses tools such as average gradient and entropy are demonstrated that the proposed algorithm does considerably increase spatial information content and reduce the color distortion compared to the counterpart fusion methods. In the proposed fused images the color information is least distorted, the spatial details are as clear as the original anatomical images, and the integration of color and spatial features was normal.