Evaluation of image denoising using fuzziness measures

WSEAS Transactions on Systems

Volumn 5, Issue 7, 2006, Pages 1548-1554

  Niola, Vincenzo ^a   Quaremba, Giuseppe ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Computer vision; Fuzzy sets; Image processing; Neural network

Indexed keywords

COMPUTER VISION; EXPERT SYSTEMS; FUZZY SETS; INFERENCE ENGINES; MULTILAYER NEURAL NETWORKS;

FUZZINESS MEASURES; IMAGE DENOISING; RULE GENERATION;

IMAGE PROCESSING;

EID: 33746414680     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. Weeks, A.R., Fundamentals of Electronic Image Processing, SPIE Optical Engineering Press and IEEE Press, 1996.
2. Weickert, J., Ter Haar Romeny, B.M., and Viergever, M., Efficient and Reliable Schemes for Nonlinear Diffusion Filtering, IEEE Trans. Image Processing, N. 7, 1998, pp. 398-410.
3. S. Mallat, Wavelet Tour of Signal Processing, Academic Press, 1998
4. D. Donoho, I. Johnstone, Ideal Spatial Adaptation by Wavelet Shrinkage, Biometrika, vol. 81, pp. 425-455, 1994
5. Ghosh, A. and Pal, S.K., Neural network, self-organization and object extraction, Pattern Recog. Lett., Vol. 13, N. 5, 1992, pp 387-397.
6. Chua, L.O., and Yang, L., Cellular neural network: Theory, IEEE Trans. Circuits Syst., Vol. 35, 1988, pp. 1257-1272.
7. Egiazarian, K., Astola, J., Helsingius, M., and Kuosmanen, P. Adaptive denoising and lossy compression of images in transform domain, Journal of Electronic Imaging, 8/3, July, 1999, pp. 233-245.
8. Black, M., Sapiro, G., Marimont, D. and Heeger, D., Robust Anisotropic Diffusion, IEEE Trans. Image Processing, N. 7, 1998, pp. 421-432.
9. Bruce, A.G. and Gao, H.Y., Understanding WaveShrink: Variance and Bias Estimation, Tech. Rep. 36, StatSci Division of MathSoft, Inc., 1995.
10. Chambolle, A., DeVore, R.A., Lee, N., and Lucier, B.J., Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelets, IEEE Trans. Image Processing, N. 7, 1998, pp. 319-335.
11. Weaver, J.B., Yansun, X., Healy, D.M. Jr. and Cromwell, L.D., Filtering noise from images with wavelet transforms, Magnetic Resonance in Medicine, N. 24, 1991, pp. 288-295.
12. Romberg, J.K., Choi, H. and Baraniuk, R.J., Shift-Invariant Denoising using Wavelet-Domain Hidden Markov Trees, in Conference Record of The Thirty-Third Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, October 1999.
13. Starck, J.-L., Murtagh, F., and Bijaoui, A., Image Processing and Data Analysis. The Multiscale Approach, Cambridge University Press, 1998.
14. Rumelhart, D.E., McClelland, J. and P.D.P. research group, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1, Cambridge, MA: MIT Press, 1986.