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Transform domain denoising using nonlinear filtering and cellular neural networks

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4 Author(s)
R. Oktem ; Signal Process. Lab., Tampere Univ. of Technol., Finland ; K. Egiazarian ; I. Aizenberg ; N. Aizenberg

Local transform domain nonlinear image filtering is studied in this work. Nonlinear filtering works in a moving window and several filtered outputs are obtained for each pixel from different windows. A second stage filtering is applied to those filtered outputs by cellular neural network with multivalued neurons. The simulation results are presented for additive Gaussian, Laplacian, and exponentially distributed noise corrupted images

Published in:

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on  (Volume:2 )

Date of Conference:

4-7 Oct 1998