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
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