Fast communication: Statistical image modeling in the contourlet domain using contextual hidden Markov models

Authors:
Zhiling Long;Nicolas H. Younan
Affiliations:
Institute for Clean Energy Technology, Mississippi State University, 205 Research Blvd., Starkville, MS 39759, USA;Department of Electrical and Computer Engineering, Mississippi State University, MS, USA
Venue:
Signal Processing
Year:
2009

Citing 6
Cited 6

Contourlet Image Modeling with Contextual Hidden Markov Models

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The contourlet transform: an efficient directional multiresolution image representation

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Multiscale texture segmentation via a contourlet contextual hidden Markov model

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Full Length Article: SAR image multiclass segmentation using a multiscale and multidirection triplet Markov fields model in nonsubsampled contourlet transform domain

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Image denoising using SVM classification in nonsubsampled contourlet transform domain

Information Sciences: an International Journal

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Abstract

In this paper, a contourlet contextual hidden Markov model (C-CHMM) is established for modeling contourlet images by adapting a previous CHMM for wavelet images (W-CHMM). A mutual information based context design procedure is presented, through which a new context has been constructed. The C-CHMM is tested in a denoising application with promising results, which verifies its effectiveness. This new model is demonstrated to be a better model for contourlet images than the state of the art contourlet hidden Markov tree model. As a general image model, it also shows more potential than the baseline W-CHMM.