Multi-component AM-FM image models and wavelet-based demodulation with component tracking

In this paper we utilize multi-component AM-FM functions to model multi-partite nonstationary images that are locally coherent, yet globally wideband. We also detail an approach for simultaneously estimating the modulating functions associated with each of the multiple components. Components are isolated by a multiband bank of Gabor wavelets, and estimates of the modulating functions are derived from each channel. We use simple one-dimensional Kalman filters to track each identified component across the channels