期刊
IMAGING SCIENCE JOURNAL
卷 63, 期 1, 页码 17-23出版社
TAYLOR & FRANCIS LTD
DOI: 10.1179/1743131X14Y.0000000092
关键词
Integer wavelet transforms; Fast discrete curvelet transforms; Multimodality; Entropy; Magnetic resonance imaging; SPECT; Mutual information; Universal image quality index
Medical image fusion is used to derive useful information by fusing the images obtained from different scanners. The integer wavelet transform is shift invariant and it is a lossless transform. The fast discrete curvelet transform extracts the edge information and can preserve the details from the source images. This paper aims to apply the fast discrete curvelet transform to a multiresolution image which is obtained by applying integer wavelet transform to the source images, so that the fused image will provide all the details with clear edge information. The performance of the proposed method is compared with the existing image fusion methods. It is validated quantitatively using the metrics like entropy, standard deviation, average gradient, average, mutual information and universal image quality index. The simulation results show that the proposed method performs better than the existing methods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据