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Proceedings Paper

Image minimization and maximization for MSE estimation of T in image restoration
Author(s): Shan Suthaharan; S. Ray
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Paper Abstract

In image restoration processes, the Wiener filter method derived from the minimum mean square error criterion is probably the most popular. In this method the constant (Gamma) , which is an a'priori knowledge of the signal-to-noise ratio, plays a major role and its value is determined by a trial and error approach. In previous papers an expression for (Gamma) [i, j], which is an a'priori knowledge of the signal-to-noise ratio at pixel [i, j], was derived assuming that two degraded versions (referred to as the first and second images) of the original image are provided. It may be possible to have many degraded versions of the original image. In this paper a new methodology is proposed to construct both the first and the second images from the given set of degraded images and then they are used with the above process of estimation of (Gamma) .

Paper Details

Date Published: 23 March 1994
PDF: 8 pages
Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171071
Show Author Affiliations
Shan Suthaharan, Monash Univ. (Australia)
S. Ray, Monash Univ. (Australia)

Published in SPIE Proceedings Vol. 2182:
Image and Video Processing II
Sarah A. Rajala; Robert L. Stevenson, Editor(s)

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