Anisotropic Nonstationary Image Estimation and Its Applications: Part I--Restoration of Noisy Images
IRE Transactions on Communications SystemsPublished 1 March 1983Open access
Hans Knutsson, R. Wilson, Goesta H. Granlund
Citations141
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TL;DR
A new form of image estimator, which takes account of linear features, is derived using a signal equivalent formulation and shows that the method can improve the quality of noisy images even when the signal-to-noise ratio is very low.
Abstract
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.
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