New models and nonlinear filters of image restoration

Artyom M. Grigoryan; Sos S. Agaian

doi:10.1117/12.235824

25 March 1996 New models and nonlinear filters of image restoration

Artyom M. Grigoryan, Sos S. Agaian

Proceedings Volume 2662, Nonlinear Image Processing VII; (1996) https://doi.org/10.1117/12.235824
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

This paper presents two new models of image restoration under consideration the linear- invariant system of image formation, which is described by the convolution type Fradholm integral equation of the first kind. The models come to the preliminary restoration of the noise imposed on the image when the last is formed. The corresponding approximate solutions of the restored image are describe and the theoretical comparative estimates are given. Also in the framework of these models the well-known inverse and Wiener filters are analyzed and the new so-called noise-homomorphic filters are considered. The best approximation of the true image in the sense of the mean-root-square error is obtained and its main properties are considered. It is shown that this approximation is better than the Wiener estimate obtained in the classical model of image restoration.

Citation Download Citation

Artyom M. Grigoryan and Sos S. Agaian "New models and nonlinear filters of image restoration", Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); https://doi.org/10.1117/12.235824

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