Medical Image Fusion Based on Wavelet Transform and Fast Curvelet Transform
نویسندگان
چکیده
Image Fusion is a data fusion technique which combines information of the two images which has varied information to form a new single image. The objective is to fuse an MR image and CT image of the same organ to obtain a single image containing as much information as possible. In this paper Wavelet Transform and Fast Curvelet Transform are highlighted to perform the image fusion of MR image and CT images. Wavelet Transform has good time-frequency characteristics in one-dimension, but this can’t be extended to two-dimensions or multi-dimensions as wavelet has very poor directivity. Since medical images have several more objects and curved shapes, it is expected that the Fast Curvelet Transform will do better in their fusion. In this project image fusion based on Wavelet Transforn and Fast Curvelet Transform was implemented. The experiment results show the superiority of Fast Curvelet Transform to the Wavelet Transform in the fusion of MR and CT images from both the visual quality and peak signal to noise ratio(PSNR) points of view. Key Words—Image Fusion, Wavelet Transform, Curvelet Transform.
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