Title :
Wiener Filtering by the Radial Power Density Function for Circularly Symmetric Blurs
Author_Institution :
Dept. of Comput. Eng., Marmara Univ., Istanbul
Abstract :
It is well known that the Wiener filter is the L2-optimal linear filter for image reconstruction. It is not possible to use it in practical situations, as its exact construction requires a priori information. In this article we propose a simple approximation to the Wiener filter valid for circularly symmetric blurs which circumvents this requirement. The performance of this approximation is shown to be close to the exact case and better than the optimally constructed (in the L2 sense) Tikhonov filter
Keywords :
Wiener filters; approximation theory; filtering theory; image reconstruction; L2-optimal linear filter; Wiener filtering; circularly symmetric blurs; image reconstruction; radial power density function; Additive white noise; Cost function; Density functional theory; Equations; Image reconstruction; Layout; Nonlinear filters; Power engineering and energy; Power engineering computing; Wiener filter;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630110