Image minimization and maximization for MSE estimation of T in image restoration

Shan Suthaharan; S. Ray

doi:10.1117/12.171071

23 March 1994 Image minimization and maximization for MSE estimation of T in image restoration

Shan Suthaharan, S. Ray

Proceedings Volume 2182, Image and Video Processing II; (1994) https://doi.org/10.1117/12.171071
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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) .

Citation Download Citation

Shan Suthaharan and S. Ray "Image minimization and maximization for MSE estimation of T in image restoration", Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); https://doi.org/10.1117/12.171071

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