DocumentCode :
2965728
Title :
Nonlinear color image restoration using extended radial basis function networks
Author :
Cha, Inhyok ; Kassam, Saleem A.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
Volume :
6
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
3402
Abstract :
We investigate a nonlinear technique for restoration of images distorted in color and space, using a class of extended radial basis function networks called the Gaussian mixture basis function networks (GMBFN). We report computer simulation results that indicate usefulness of this new approach
Keywords :
Gaussian processes; feedforward neural nets; image colour analysis; image restoration; GMBFN; Gaussian mixture basis function networks; distorted images; extended radial basis function networks; nonlinear color image restoration; Color; Colored noise; Degradation; Gray-scale; Image restoration; Neural networks; Nonlinear distortion; Nonlinear filters; Radial basis function networks; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.550608
Filename :
550608
Link To Document :
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