期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：4
出版社：SERSC
摘要：To suppress the Pseudo-Gibbs phenomena caused by the Contourlet, the Nonsubsampled Pyramids Filter Banks and the Nonsubsampled Directional Filter Banks are combined to construct the nonsubsampled Contourlet transform (NSCT). Hence, The NSCT not only possess the main features of multi-scale, multi-directional and time-frequency localization, but also offer the property of the shift-invariant which is vital to image processing. Firstly, multi-scale decomposition is performed on source images using NSCT to get high-frequency and low-frequency images. Secondly, the Novel Sum-Modified-Laplacian and Local Neighbour Sum of Laplacian are respectively used to select the lowpass coefficient and highpass coefficients to combine fused image. Finally, the inverse nonsubsampled contourlet transform is applied to obtain fused image. Experimental results show the proposed approach outperform the traditional discrete wavelet transform-based and the Contourlet-based image fusion methods
关键词：nonsubsampled Contourlet transform; Sum-Modified-Laplacian; Sum of Laplacian
