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Wavelet-based Image Modelling for Compression Using Hidden Markov Model

Wavelet-based Image Modelling for Compression Using Hidden Markov Model

Authors :
Muhammad Usman Riaz
Imran Touqir
Maham Haider
Source :
International Journal of Advanced Computer Science and Applications. 7
Publication Year :
2016
Publisher :
The Science and Information Organization, 2016.

Abstract

Statistical signal modeling using hidden Markov model is one of the techniques used for image compression. Wavelet based statistical signal models are impractical for most of the real time processing because they usually represent the wavelet coefficients as jointly Gaussian or independent to each other. In this paper, we build up an algorithm that succinctly characterizes the interdependencies of wavelet coefficients and their Non-Gaussian behavior especially for image compression. This is done by extracting the combine feature of hidden Markov model and Wavelet transformation that gives us comparatively better results. To estimate the parameter of wavelet based Hidden Markov model, an efficient expectation maximization algorithm is developed.

Details

ISSN :
21565570 and 2158107X
Volume :
7
Database :
OpenAIRE
Journal :
International Journal of Advanced Computer Science and Applications
Accession number :
edsair.doi...........76dcd8304b6c3c95c2afd796731d5ba0
Full Text :
https://doi.org/10.14569/ijacsa.2016.071139