Evaluation of Choose Max and Contrast Based Fusion Rule Using DWT for PET, CT Images

The aim of medical image fusion is defined as the combination of visual information contained in any number of input images into a single fused output image without introducing artifacts or information loss. In this paper medical image fusion based on discrete wavelet transform (DWT) has been proposed for positron emission tomography and computed tomography images. Initially the input images are decomposed into low and high frequency coefficients by DWT. Fusion of images are obtained by applying choose max fusion rule for low frequency coefficients and choose max and contrast fusion rule for high frequency coefficients. Finally to reconstruct the original image inverse transform is applied. Qualitative and quantitative fusion results show that contrast method performs well than choose max method.