DocumentCode
1992377
Title
Wiener filter in two-dimensional case applied to corrected images
Author
Khireddine, A. ; Benmahammed, K.
Author_Institution
Fac. of Sci., Univ. of Bejaia, Algeria
fYear
2003
fDate
14-18 July 2003
Firstpage
133
Abstract
Summary form only given, as follows. The theory of Wiener gives the filter which minimizes the residual error (difference between the real exit and the desired exit), thus, the filter of Wiener 2D gives a solution to many problems of two-dimensional signal processing such as the restoration of degraded images. However, since the determination of this filter implies the solution of a system of linear equations with great dimension, fast algorithms are necessary. The effort of calculation for the determination of the coefficients of this filter depends primarily on the statistical nature of the input signal. Thus, the vertical or horizontal stationarity of the two-dimensional signal of entry provides a system whose associated matrix has a structure of Toeplitz in blocks. The system can be solved by the use of the algorithm of Levinson generalized for the two-dimensional case.
Keywords
Toeplitz matrices; Wiener filters; image restoration; minimisation; statistical analysis; two-dimensional digital filters; Levinson algorithm; Toeplitz matrix; Wiener filter; corrected image; linear equations; residual error minimization; restored images; two-dimensional signal processing; Computer aided software engineering; Degradation; Equations; Filtering theory; Image restoration; Nonlinear filters; Signal processing algorithms; Signal restoration; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications, 2003. Book of Abstracts. ACS/IEEE International Conference on
Conference_Location
Tunis, Tunisia
Print_ISBN
0-7803-7983-7
Type
conf
DOI
10.1109/AICCSA.2003.1227565
Filename
1227565
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