Robust multiscale AM-FM demodulation of digital images

Víctor Murray, Paul Rodríguez V, Marios S. Pattichis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

In this paper, we introduce new multiscale AM-FM demodulation algorithms that provide significant improvements in accuracy over previously reported approaches. The improvements are due to the use of new filterbanks based on separable filters supported in just two quadrants. The QEA, robust-QEA and Vakman methods are improved with this new filterbanks. A number of 2-D AM-FM examples are presented, where we observe significant accuracy improvements. For Lena, the mean-square-error for the AM-FM harmonic reconstruction is reduced by 88.31%. Similarly, for a AM-FM synthetic example of sinusoidal phase and Gaussian amplitude, the meansquare-error is reduced by: (i) 70.86% for the reconstruction, (ii) 99.66% for the instantaneous amplitude and (iii) 96.52% for the sinusoidal instantaneous frequency component.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PagesI465-I468
DOIs
StatePublished - 2006
Externally publishedYes
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: 16 Sep 200719 Sep 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Conference

Conference14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX
Period16/09/0719/09/07

Keywords

  • Multidimensional amplitude modulation
  • Multidimensional demodulation
  • Multidimensional frequency modulation

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