Robust multiscale AM-FM demodulation of digital images

Víctor Murray, Paul Rodríguez V, Marios S. Pattichis

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13 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PáginasI465-I468
DOI
EstadoPublicada - 2006
Publicado de forma externa
Evento14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, Estados Unidos
Duración: 16 set. 200719 set. 2007

Serie de la publicación

NombreProceedings - International Conference on Image Processing, ICIP
Volumen1
ISSN (versión impresa)1522-4880

Conferencia

Conferencia14th IEEE International Conference on Image Processing, ICIP 2007
País/TerritorioEstados Unidos
CiudadSan Antonio, TX
Período16/09/0719/09/07

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