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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Bibliographic Details
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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Summary: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.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.503927