Noncausal image modeling with applications to image restoration

Mohammed A. Hasan, Mahmood R. Azimi-Sadjadi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The problem of noncausal image modeling and estimation with applications to image restoration is considered in this paper. The noncausal vector autoregressive (AR) model for the image process is arranged into a descriptor system. This system is then decomposed into forward and backward stable subsystems which capture the dynamic behavior of the original descriptor system. The design of time varying filter is also considered. The forward state is estimated with the backward state considered as a colored output noise. Similarly the backward state is estimated with the forward state regarded as colored output noise. Simulation results for noncausal image modeling are also presented.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages842-845
Number of pages4
ISBN (Print)0780312813
StatePublished - Jan 1 1993
Event1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, USA
Duration: May 3 1993May 6 1993

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume1
ISSN (Print)0271-4310

Other

Other1993 IEEE International Symposium on Circuits and Systems
CityChicago, IL, USA
Period5/3/935/6/93

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  • Cite this

    Hasan, M. A., & Azimi-Sadjadi, M. R. (1993). Noncausal image modeling with applications to image restoration. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 842-845). (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 1). Publ by IEEE.