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
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