@inproceedings {598,
	title = {Towards random field modeling of wavelet statistics},
	booktitle = {International Conference on Image Processing},
	year = {2002},
	address = {Rochester, NY},
	abstract = {<p>The paper investigates the statistical characterization of signals and images in the wavelet domain. In particular, in contrast to common decorrelated-coefficient models, we find that the correlation between wavelet scales can be surprisingly substantial, even across several scales. We investigate possible choices of statistical-interaction models. One efficient and fast strategy which describes the wavelet-based statistical correlations is illustrated. Finally, the effectiveness of the proposed tool towards an efficient hierarchical MRF (Markov random field) modeling of within-scale neighborhoods and across-scale dependencies is demonstrated.</p>
},
	keywords = {image characterization, image processing, Markov processes, Markov random field modeling, MRF, signal characterization, statistical analysis, statistical image processing, wavelet statistics, wavelet transforms},
	doi = {http://dx.doi.org/10.1109/ICIP.2002.1038035},
	author = {Z Azimifar and P Fieguth and E Jernigan}
}
