Image denoising using a neural network based non-linear filter in wavelet domain

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn II, Issue , 2005, Pages

  Zhang, S ^a   Salari, E ^b  

^a EASTERN KENTUCKY UNIVERSITY   (United States)

^b The University of Toledo   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE DENOISING; SIGNAL DECOMPOSITION; WAVELET COEFFICIENTS; WAVELET DOMAIN;

COMPUTER SIMULATION; NEURAL NETWORKS; NONLINEAR FILTERING; SIGNAL THEORY; SPURIOUS SIGNAL NOISE; WAVELET TRANSFORMS;

IMAGE PROCESSING;

EID: 33646818674     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415573     Document Type: Conference Paper

References (8)

1. D. L. Donoho and I. M. Johnstone, "Ideal Spatial Adaptation via Wavelet Shrinkage", Biometrika, vol. 81, pp.425-455, 1994.
2. I. M. Johnstone and D. L. Donoho, "Adapting to Smoothness via Wavelet Shrinkage," J. Statistical Association, vol. 90, No. 432, pp. 1200-1224, 1995.
3. D. L. Donoho, "De-Noising by Soft-Thresholding," IEEE Trans. Information Theory, vol. 41, No. 3, pp. 613-627, 1995.
4. M. Malfait and D. Roose, "Wavelet Based Image Denoising Using a Markov Random Field a Priori Model," IEEE Trans. Image Processing, vol. 6, No. 4, pp.549-565, 1997.
5. S. G. Chang, B. Yu and M. Vetterli, "Adaptive Wavelet Thresholding for Image Denoising can Compression," IEEE Trans. Image Processing, vol. 9, no. 9, pp. 1532-1546, 2000
6. Z. Hou, "Adaptive Singular Value Decomposition in Wavelet Domain for Image Denoising," Pattern Recognition, vol. 36, pp. 1747-1763, 2003
7. C. R. Jung and J. Scharcanski, "Adaptive Image Denoising and Edge Enhancement in Scale-space Using the Wavelet Transform," Pattern Recognition Letter, vol. 23, pp. 965-971, 2003
8. M. H. Hassou, Fundamentals of Artificial Neural Network, MIT Press, Cambridge, MA, 1995