Anisotropic Non-Stationary Image Estimation and its Applications: Part I. Restoration of Noisy Images
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
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.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-21582DOI: 10.1109/TCOM.1983.1095832OAI: oai:DiVA.org:liu-21582DiVA: diva2:241544
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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.