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Nonlinear color image restoration using extended radial basis function networks

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2 Author(s)
Inhyok Cha ; Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA ; Kassam, S.A.

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

Published in:

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on  (Volume:6 )

Date of Conference:

7-10 May 1996