A regularized optimization approach for AM-FM reconstructions

Paul Rodríguez, Victor Murray, Marios S. Pattichis

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Resumen

The AM-FM Dominant and Channelized Component Analysis (DCA and CCA respectively) [1], consist of applying a filter bank to the Hilbert-tranformed image, and then proceeding with the AM-FM demodulation of each band-pass filtered image. Whereas AM-FM reconstructions based on the CCA use a reasonably small number of locally coherent components, those based on the DCA only use one component: the estimates from the channel with the maximum amplitude estimate. Both types of reconstructions are known to produce noticeable visual artifacts. We propose a method, based on a regularized optimization of the estimates from the CCA, which attains a small number of locally coherent components and simultaneously enforces a piecewise smooth constrain for the amplitude functions. Moreover, this method offers high quality reconstructions when compared to standard CCA and DCA reconstructions and state of the art techniques [2].

Idioma originalInglés
Título de la publicación alojadaConference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Páginas219-221
Número de páginas3
DOI
EstadoPublicada - 2010
Evento44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, Estados Unidos
Duración: 7 nov. 201010 nov. 2010

Serie de la publicación

NombreConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (versión impresa)1058-6393

Conferencia

Conferencia44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
País/TerritorioEstados Unidos
CiudadPacific Grove, CA
Período7/11/1010/11/10

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