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The multicomponent AM-FM image representation

We compute AM-FM representations for multicomponent, nonstationary images using a statistical component model. Components are isolated with a filterbank comprising frequency and orientation selective channels. The modulating functions for each component are estimated from the channel responses using...

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Published in:	IEEE transactions on image processing 1996, Vol.5 (6), p.1094-1100
Main Authors:	Havlicek, J.P., Harding, D.S., Bovik, A.C.
Format:	Article
Language:	English
Subjects:	Amplitude modulation Applied sciences Bandwidth Exact sciences and technology Filter bank Fractals Frequency estimation Frequency modulation Image processing Image reconstruction Image representation Information, signal and communications theory Military computing Multidimensional systems Signal processing Telecommunications and information theory
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description	We compute AM-FM representations for multicomponent, nonstationary images using a statistical component model. Components are isolated with a filterbank comprising frequency and orientation selective channels. The modulating functions for each component are estimated from the channel responses using localized nonlinear operators followed by optimal MMSE estimators. We also demonstrate reconstruction from the representation.
doi_str_mv	10.1109/83.503927
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language	eng
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source	IEEE Xplore (Online service)
subjects	Amplitude modulation Applied sciences Bandwidth Exact sciences and technology Filter bank Fractals Frequency estimation Frequency modulation Image processing Image reconstruction Image representation Information, signal and communications theory Military computing Multidimensional systems Signal processing Telecommunications and information theory
title	The multicomponent AM-FM image representation
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