By Yi Wan, Liangshan Shao, Lipo Wang, Jinguang Sun
These court cases of the symposium ISIT 2014 target to be a platform for foreign alternate of the state of the art study and perform in details expertise. The contributions hide a large choice of subject matters, starting from theoretical and analytical reviews to numerous purposes.
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Additional resources for Information Technology: Proceedings of the 2014 International Symposium on Information Technology
Indd 32 12/06/15 3:24 PM Information Technology – Wan et al.
Since this decomposition technique has been extended to analyze two-dimensional data by Song et al. (2001), bidimensional empirical mode de- composition(BEMD) developed rapidly (Han 2002, Nunes 2003, Liu 2005, among others). Some well-known methods are: BEMD of applying 1-D EMD directly along rows and then along columns of image (Han 2002), BEMD of considering d irection of image texture, that is DEMD (Liu 2005), BEMD based on radial basis function interpolation (Nunes 2003); BEMD based on Delaunay triangulation and on piecewise cubic polynomial interpolation (Damerval 2005), BEMD based on finite-element technology (Xu 2006), neighborhood limited BEMD (Xu 2006), assisted signal BEMD (Xu 2011), fast and adaptive BEMD, that is FABEMD (Sharif 2008), BEMD based on PDE (Niang 2010), and so on.
Hu D. , Ding C. B. (2012). Enhancement of SAR Ship Wake Image Based on FABEMD and Goldstein Filter. Journal of Radars, 4:102–111. Table 1. Comparison of time consumed. 103 5 Conclusion In this paper, we make full use of 2-D MSEx information, and presented a improved fast and adaptive bidimensional empirical mode decomposition (IFABEMD) that can enhance the decomposition adaptivity and efficiency for 2-D signals further. Although some advantages and disadvantages didn’t discuss in detail in the limited space, the proposed method will get more study, and may be used in image enhancement, image fusion, and so on.