Statistical signal processing using wavelet-domain hidden Markov models
- 30 October 1997
- proceedings article
- Published by SPIE-Intl Soc Optical Eng
- p. 248-259
- https://doi.org/10.1117/12.279689
Abstract
Most wavelet-based statistical signal and image processing techniques treat the wavelet coefficients as though they were statistically independent. This assumption is unrealistic; considering the statistical dependencies between wavelet coefficients can yield substantial performance improvements. In this paper, we develop a new framework for wavelet-based signal processing that employs hidden Markov models to characterize the dependencies between wavelet coefficients.Keywords
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