• 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