| Title | Towards random field modeling of wavelet statistics |
| Publication Type | Conference Paper |
| Year of Publication | 2002 |
| Authors | Azimifar, Z., P. Fieguth, and E. Jernigan |
| Conference Name | International Conference on Image Processing |
| Conference Location | Rochester, NY |
| Keywords | image characterization, image processing, Markov processes, Markov random field modeling, MRF, signal characterization, statistical analysis, statistical image processing, wavelet statistics, wavelet transforms |
| Abstract | 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. |
| DOI | 10.1109/ICIP.2002.1038035 |
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