Speech pitch determination based on Hilbert-Huang transform
Signal Processing
Neighborhood Limited Empirical Mode Decomposition and Application in Image Processing
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Image and Vision Computing
An Image Watermarking Method Based on Bidimensional Empirical Mode Decomposition
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 5 - Volume 05
Feature point detection utilizing the empirical mode decomposition
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
Image Fusion: Algorithms and Applications
Image Fusion: Algorithms and Applications
An Edge Detection Algorithm of Image Based on Empirical Mode Decomposition
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 01
Improved bi-dimensional EMD and Hilbert spectrum for the analysis of textures
Pattern Recognition
Generalized Hilbert transform and its properties in 2D LCT domain
Signal Processing
Multiscale image fusion using complex extensions of EMD
IEEE Transactions on Signal Processing
Digital Image Watermarking Using Bidimensional Empirical Mode Decomposition in Wavelet Domain
ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia
Empirical mode decomposition for trivariate signals
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Hypercomplex signals-a novel extension of the analytic signal tothe multidimensional case
IEEE Transactions on Signal Processing
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A new method for computing complex bidimensional empirical mode decomposition (BEMD) is presented in this paper. The proposed complex-BEMD uses four quadrant spectra to apply standard BEMD to four real-valued 2D signals. The so-generated intrinsic mode functions (IMFs) are 2D complex-valued, which facilitates the extension of the standard BEMD to the complex domain. The proposed complex-BEMD can be successful for the analysis of real-world 2D complex-valued signals, such as 2D NMR signals. Moreover, the proposed complex-BEMD can be applied for color image processing. A simple color image fusion algorithm based upon the proposed complex-BEMD has also been developed to have the exhibition of the potential. By our proposed complex-BEMD and image fusion algorithm, the well-fused results can be obtained, if the mode mixing in BEMD is alleviated.