Selective noise filtration of image signals using wavelet transform

Measurement: Journal of the International Measurement Confederation

Volumn 36, Issue 3-4, 2004, Pages 279-287

  Ugweje, Okechukwu C ^a  

^a The University of Akron   (United States)

Author keywords

Denoising; Image and signal processing; Scale space filtering; Selective noise filtering; Wavelet transform

Indexed keywords

ALGORITHMS; COMPUTER VISION; IMAGE PROCESSING; LOW PASS FILTERS; MEDICAL IMAGING; PATTERN RECOGNITION; SIGNAL PROCESSING; SPURIOUS SIGNAL NOISE;

FILTERING ALGORITHMS; NOISE FILTERATION; WAVELET FILTERS;

WAVELET TRANSFORMS;

EID: 10044222081     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2004.09.009     Document Type: Article

References (22)

1. H. Hart, Z. Uang, Bayesian image processing in two dimensions, IEEE Trans. Med. Imaging 6 (1988) 201-208.
2. X. Hu, V. Johnson, W.H. Wong, C.-T. Chen, Bayesian image processing in magnetic resonance imaging, Magn. Reson. Imaging 9 (1991) 611-620.
3. E.R. McVeigh, R.M. Henkelman, M.J. Bronskill, Noise and filtration in magnetic resonance imaging, Med. Phys. 12 (5) (1985) 586-591.
4. J.W. Cooley, J.W. Tukey, An algorithm the machine computation of complex Fourier series, Math. Comput. 19 (90) (1965) 297-301.
5. S.S. Agaian, Hadamard Matrices and their Applications, SpringerVerlag, Berlin Germany, 1985.
6. L.A. Zalmonzon, Fourier, Walsh, and Haar Transforms and their Applications in Control, Communication and Other Fields, Nauka, Moscow, Russia, 1989.
7. A.V. Oppenheim, R.W. Schafer, Digital Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1975.
8. N. Ahmed, K.R. Rao, Orthogonal Transforms for Digital Image Processing, Springer Verlag, New York, 1985.
9. A.K. Jain, Fundamentals of Digital Image Processing, PrenticeHall, Englewood Cliffs, NJ, 1989.
10. F.M, Wahl, Digital image processing, Artech House, Norwood, MA, 1987.
11. J.S. Lim, Two dimension signal and image processing, Prentice Hall, Englewood Cliffs, NJ, 1990.
12. J.G. Proakis, D.G. Manolakis, Digital Signal Processing: Principles, Algorithm and Applications, Prentice-Hall, Englewood Cliffs, NJ, 1996, pp. 896-920.
13. O. Ersoy, Fourier related transform, fast algorithms and their applications, Prentice-Hall, Englewood Cliffs, NJ, 1997.
14. A. Witkin, Scale space filtering, In: Proc. 8th Int. Joint Conference Artificial Intell., 1983.
15. S.G. Mallat, A theory for multiresolution signal decompositions: the wavelet representation, IEEE Trans. Patt. Anal. Machine Intell. 11 (7) (1989) 674-693.
16. S. Mallat, W.L. Hwang, Singularity detection and processing with wavelets, IEEE Trans. Inform. Theory 38 (2) (1992) 617-643.
17. Y. Xu, J.B. Weaver, D.M. Healy Jr., J. Lu, Wavelet transform domain filters: a spatially selective noise filtration technique, IEEE Transaction on Image Processing 3 (6) (1994) 747-757.
18. Y. Zheng, D.B.H. Tay, L. Li, Signal extration and power spectrum estimation using wavelet transform scale space filtering and Bayes shrinkage, Signal Processing 80 (2000) 1535-1549.
19. S. Mallat, S. Zhong, Character of signal from multiscale edges, IEEE Trans. Pattern Anal. Mach. Intell. 14 (7) (1992) 710-732.
20. D.L. Donoho, I.M. Johnstone, Adapting to unknown smoothness via wavelet shrinkage, J. Am. Statis. Assoc. 90 (432) (1995) 1200-1244.
21. J.S. Walker, A primer on wavelets and their scientific applications, CRC Press, Boca Raton, 1999.
22. J.B. Weaver, Y. Xu, D.M. Healy Jr., L.D. Cromwell, Filtering noise from images with wavelet transforms, Magn. Reson. Med. 21 (2) (1991) 288-295.