DocumentCode :
1552413
Title :
The monogenic signal
Author :
Felsberg, Michael ; Sommer, Gerald
Author_Institution :
Cognitive Syst. Group, Christian Albrechts Univ., Kiel, Germany
Volume :
49
Issue :
12
fYear :
2001
fDate :
12/1/2001 12:00:00 AM
Firstpage :
3136
Lastpage :
3144
Abstract :
This paper introduces a two-dimensional (2-D) generalization of the analytic signal. This novel approach is based on the Riesz transform, which is used instead of the Hilbert transform. The combination of a 2-D signal with the Riesz transformed one yields a sophisticated 2-D analytic signal: the monogenic signal. The approach is derived analytically from irrotational and solenoidal vector fields. Based on local amplitude and local phase, an appropriate local signal representation that preserves the split of identity, i.e., the invariance-equivariance property of signal decomposition, is presented. This is one of the central properties of the one-dimensional (1-D) analytic signal that decomposes a signal into structural and energetic information. We show that further properties of the analytic signal concerning symmetry, energy, allpass transfer function, and orthogonality are also preserved, and we compare this with the behavior of other approaches for a 2-D analytic signal. As a central topic of this paper, a geometric phase interpretation that is based on the relation between the 1-D analytic signal and the 2-D monogenic signal established by the Radon (1986) transform is introduced. Possible applications of this relationship are sketched, and references to other applications of the monogenic signal are given
Keywords :
Hilbert transforms; Radon transforms; multidimensional signal processing; signal representation; 1D analytic signal; 2D analytic signal; 2D monogenic signal; Hilbert transform; Radon transform; Riesz transform; allpass transfer function; geometric phase interpretation; irrotational vector fields; local amplitude representation; local phase representation; local signal representation; monogenic signal; signal energy; signal symmetry; solenoidal vector fields; Band pass filters; Frequency estimation; Image edge detection; Image processing; Information analysis; Information filtering; Phase measurement; Radar signal processing; Signal analysis; Signal processing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.969520
Filename :
969520
Link To Document :
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