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Anisotropic Non-Stationary Image Estimation and its Applications: Part I. Restoration of Noisy Images
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
University of Aston.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1983 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. COM--31, no 3, 388-397 p.Article in journal (Refereed) Published
Abstract [en]

A new form of image estimator, which takes account of linear features, is derived using a signal equivalent formulation. The estimator is shown to be a nonstationary linear combination of three stationary estimators. The relation of the estimator to human visual physiology is discussed. A method for estimating the nonstationary control information is described and shown to be effective when the estimation is made from noisy data. A suboptimal approach which is computationally less demanding is presented and used in the restoration of a variety of images corrupted by additive white noise. The results show that the method can improve the quality of noisy images even when the signal-to-noise ratio is very low.

Place, publisher, year, edition, pages
1983. Vol. COM--31, no 3, 388-397 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21582DOI: 10.1109/TCOM.1983.1095832OAI: oai:DiVA.org:liu-21582DiVA: diva2:241544
Note
©2009 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 the IEEE. Hans Knutsson, Roland Wilson and Gösta H. Granlund, Anisotropic Non-Stationary Image Estimation and its Applications: Part I. Restoration of Noisy Images, 1983, IEEE Transactions on Communications, (COM--31), 3, 388-397. http://dx.doi.org/10.1109/TCOM.1983.1095832 Available from: 2009-10-04 Created: 2009-10-04 Last updated: 2013-08-28Bibliographically approved
In thesis
1. Filtering and reconstruction in image processing
Open this publication in new window or tab >>Filtering and reconstruction in image processing
1982 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Image processing is a broad field posing a wide range of problems. The Work presented in this dissertation is mainly concerned with filter design subjectto different criteria and constraints.

The first part describes the development of a new radiographic reconstruction method designated Ectomography. The method is novel in that it allows reconstruction of an arbitrarily thick layer of an object using limited viewing angle.

The subject of the second partis estimation and filtering of local image information. Quadrature filters are designed enabling accurate orientation and frequency estimates. The extracted information is shown to provide a good basis fo r efficient image enhancement and coding procedures.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1982. 11 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 88
Keyword
Ectomography, Radiographic reconstruction method, Image processing, Elektronik
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-54890 (URN)91-7372-595-1 (ISBN)
Public defence
1982-12-17, C3, Hus C, Campus Valla, Linköpings universitet, Linköping, 09:15 (English)
Supervisors
Available from: 2010-04-19 Created: 2010-04-19 Last updated: 2013-08-28Bibliographically approved

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Knutsson, HansGranlund, Gösta H.

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