Biomedical Imaging GroupSTI
English only   BIG > Publications > ARMA Modeling

 Home Page
 News & Events
 Tutorials and Reviews
 Download Algorithms

 All BibTeX References

Resolution-Invariant Separable ARMA Modeling of Images

A. Bourquard, H. Kirshner, M. Unser

Proceedings of the 2011 IEEE International Conference on Image Processing (ICIP'11), Brussels, Kingdom of Belgium, September 11-14, 2011, pp. 1873-1876.

We suggest a continuous-domain stochastic modeling of images that is invariant to spatial resolution. Specifically, we are proposing an estimator that is calibrated with respect to the sampling step, and that can potentially handle aliased data. Motivated by Markov random fields, we assume a continuous-domain ARMA model and suggest an algorithm for estimating the continuous-domain parameters from the sampled data. The continuous-domain parameters we estimate provide features that can further be used for image classification, segmentation and interpolation, regardless of sampling interval values and of aliasing effects that may appear in the digital image. Experimental results indicate that the proposed approach is preferable over a discrete-domain ARMA modeling.

AUTHOR="Bourquard, A. and Kirshner, H. and Unser, M.",
TITLE="Resolution-Invariant Separable {ARMA} Modeling of Images",
BOOKTITLE="Proceedings of the 2011 {IEEE} International Conference on
        Image Processing ({ICIP'11})",
address="Brussels, Kingdom of Belgium",
month="September 11-14,",

© 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.