Title :
Transform domain denoising using nonlinear filtering and cellular neural networks
Author :
Oktem, R. ; Egiazarian, K. ; Aizenberg, Igor ; Aizenberg, N.
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Abstract :
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
Keywords :
Gaussian noise; cellular neural nets; exponential distribution; filtering theory; image processing; nonlinear filters; transforms; Laplacian noise; additive Gaussian noise; cellular neural networks; exponentially distributed noise; filtered outputs; image processing; local transform domain; moving window; multivalued neurons; noise corrupted images; nonlinear image filtering; pixel; simulation results; transform domain denoising; Adaptive filters; Additive noise; Cellular neural networks; Filtering; Image processing; Neural networks; Noise reduction; Wavelet domain; Wavelet transforms; Wiener filter;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723693
