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Hidden Markov Tree Models for Complex Wavelet Transforms
Multiresolution models such as the hidden Markov tree (HMT) aim to capture the statistical structure of signals and images by leveraging two key wavelet transform properties: wavelet coefficients representing smooth/singular ...
Bayesian Tree-Structured Image Modeling using Wavelet-domain Hidden Markov Models
Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint probability density of the wavelet ...