Fusion of MRI and PET images using DWT and adaptive histogram equalization

Image fusion technique integrates suitable information from various modalities of input images into a fused distinct image where the resultant image provides better information in comparison with the input images which are used for fusion and is more appropriate for visual perception. This work presents an image fusion method which performs wavelet decomposition for both PET and MRI images with different activity levels. This method generates promising fusion results by varying the structural information in the gray matter area and the spectral information in the white matter area to have better color preservation. Moreover, to produce good spectral resolution, smoothing filters is applied to the low frequency region and adaptive histogram equalization is performed to obtain a high contrast fused output image.