DocumentCode :
3246365
Title :
Wiener Filter for Isotropic Signal Fields
Author :
Arora, Raman ; Parthasarathy, Harish
Author_Institution :
Univ. of Wisconsin-Madison, Madison
fYear :
2007
fDate :
4-7 Nov. 2007
Firstpage :
540
Lastpage :
544
Abstract :
The images of a three dimensional scene taken at varying depths are regarded as reference stochastic processes on the unit sphere to formulate the normal equations for estimating the image at any given depth. These comprise a set of coupled linear integral equations on the unit sphere for the filter bank. The coefficient functions of these equations are the scene correlations which are assumed to be known. By exploiting properties of the action of the rotation group on the unit sphere, this set of coupled integral equations is converted into a set of Wiener-Hopf convolutional integral equations on the rotation group. These are solved using the Peter-Weyl theory of the Fourier transform on the rotation group.
Keywords :
Fourier transforms; Wiener filters; image processing; integral equations; stochastic processes; Fourier transform; Wiener filter; Wiener-Hopf convolutional integral equations; isotropic signal fields; linear integral equations; reference stochastic processes; three dimensional scene; Cameras; Convolution; Humans; Integral equations; Layout; Neurons; Noise reduction; Robot vision systems; Visual system; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2007.4487271
Filename :
4487271
Link To Document :
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