Regularization approach to blind restoration of images degraded by shift-variant blurs

Yu Li You, M. Kaveh

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

This paper presents shift-adaptive blind image restoration algorithms which can deal with realistic shift-variant blurs and which integrate the usually separate tasks of blur identification and image restoration. The key to success is the effective utilization of the piecewise smoothness of both the image and the PSF to compensate for the severe lack of information in this type of problems. This is achieved through regularization of the image and the PSF by anisotropic diffusion which has the property that smoothing is allowed only in the direction of edges.

Original languageEnglish (US)
Pages (from-to)2607-2610
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - Jan 1 1995
EventProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA
Duration: May 9 1995May 12 1995

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