Combined wavelet domain and temporal video denoising

Proceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003

Volumn , Issue , 2003, Pages 334-341

  Pizurica, A ^a   Zlokolica, V ^a   Philips, W ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Adaptive filters; Application software; Information filtering; Information filters; Noise reduction; Real time systems; Video compression; Videoconference; Wavelet analysis; Wavelet domain

Indexed keywords

ADAPTIVE FILTERING; APPLICATION PROGRAMS; IMAGE COMPRESSION; INFORMATION FILTERING; INTERACTIVE COMPUTER SYSTEMS; NOISE ABATEMENT; REAL TIME SYSTEMS; SECURITY SYSTEMS; SPURIOUS SIGNAL NOISE; TELEVISION SYSTEMS; WAVELET ANALYSIS;

PERFORMANCE MEASURE; REALTIME PROCESSING; SIGNAL OF INTERESTS; SOFTWARE IMPLEMENTATION; SPATIO-TEMPORAL FILTER; VIDEOCONFERENCE; WAVELET COEFFICIENTS; WAVELET DOMAIN;

SIGNAL PROCESSING;

EID: 84945174670     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2003.1217940     Document Type: Conference Paper

References (24)

1. F. Cocchia, S. Carrato, and G. Ramponi, "Design and real-time implementation of a 3-D rational filter for edge preserving smoothing," IEEE Trans. Consumer Electron., vol. 43, no. 4, pp. 1291-1300, Nov. 1997.
2. G. De Haan, G.T. Kwaaitaal-Spassova, M. Larragy, and A.O. Olukayode, "Memory integrated noise reduction ic for television," IEEE Trans. Consumer Electron., vol. 42, no. 2, pp. 175-180, 1996.
3. K. Jostschulte, A. Amer, M. Schu, and H. Schroder, "Perception adaptive temporal tv-noise reduction using contour preserving prefilter techniques," IEEE Trans. Consumer Electron., vol. 44, no. 3, pp. 1091-1096, 1998.
4. A.O. Olukayode and G.T. Kwaaitaal-Spassova, "An algorithm for integrated noise reduction and sharpness enhacement," IEEE Trans. Consumer Electron., vol. 46, no. 3, pp. 474-480, 2000.
5. V. Zlokolica, W. Philips, and D. Van De Ville, "A new non-linear filter for video processing," in IEEE Benelux Signal Processing Symposium, Mar. 2002, pp. 221-224.
6. I. Daubechies, Ten Lectures on Wavelets, Philadelphia: SIAM, 1992.
7. S. Mallat, A wavelet tour of signal processing, Academic Press, London, 1998.
8. M. Vetterli and J. Kovačević, Wavelets and Subband Coding, 1995.
9. F. Abramovich, T. Sapatinas, and B.W. Silverman, "Wavelet thresholding via a bayesian approach," J. of the Royal Statist. Society B, vol. 60, pp. 725-749, 1998.
10. S.G. Chang, B. Yu, and M. Vetterli, "Spatially adaptive wavelet thresholding with context modeling for image denoising," IEEE Trans. Image Proc., vol. 9, no. 9, pp. 1522-1531, Sept. 2000.
11. H.A. Chipman, E.D. Kolaczyk, and R.E. McCulloch, "Adaptive bayesian wavelet shrinkage," J. of the Amer. Statist. Assoc., , no. 92, pp. 1413-1421, 1997.
12. R.R. Coifman and D.L. Donoho, "Translation-invariant denoising," Wavelets and Statistics, pp. 125-150, Sept. 1995.
13. M.S. Crouse, R.D. Nowak, and R.G. Baranuik, "Wavelet-based statistical signal processing using hidden markov models," IEEE Trans. Signal Proc., vol. 46, pp. 886-902, 1998.
14. D.L. Donoho and I.M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, vol. 8, pp. 425-455, 1994.
15. S Mallat and W.L. Hwang, "Singularity detection and processing with wavelets," IEEE Trans. Information Theory, vol. 38, no. 8, pp. 617-643, Mar. 1992.
16. M.K. Mihcak, I. Kozintsev, K. Ramchandran, and P. Moulin, "Low-complexity image denoising based on statistical modeling of wavelet coefficients," IEEE Signal Proc. Lett., vol. 6, no. 12, pp. 300-303, Dec. 1999.
17. M. Jansen and A. Bultheel, "Empirical bayes approach to improve wavelet thresholding for image noise reduction," J. of the Amer. Statist. Assoc., vol. 96, pp. 223-242, 2001.
18. A. Pizurica, W. Philips, I. Lemahieu, and M. Acheroy, "A joint inter- and intrascale statistical model for wavelet based bayesian image denoising," IEEE Trans. Image Proc, vol. 11, no. 5, pp. 545-557, May 2002.
19. A. Pizurica, W. Philips, I. Lemahieu, and M. Acheroy, "A versatile wavelet domain noise filtration technique for medical imaging," IEEE Trans. Medical Imaging, in press, 2003.
20. A. Pizurica, Image Denoising Using Wavelets and Spatial Context Modeling, Ph.D. thesis, Ghent University, Belgium, 2002.
21. E.P. Simoncelli and E.H. Adelson, "Noise removal via bayesian wavelet coring," in Proc. IEEE Internat. Conf. Image Proc. ICIP, Lausanne, Switzerland, 1996.
22. J.K. Romberg, H. Choi, and R.G. Baraniuk, "Bayesian tree structured image modeling using wavelet-domain hidden markov models," IEEE Trans. Image Proc., vol. 10, no. 7, pp. 1056-1068, July 2001.
23. B. Vidakovic, "Nonlinear wavelet shrinkage with bayes rules and bayes factors," J. of the American Statistical Association, vol. 93, pp. 173-179, 1998.
24. K. Shen and E.J. Delp, "Wavelet based rate scalable video compression," IEEE Trans. on Circuits and Systems for Video Technology, vol. 9, no. 1, pp. 109-122, 1999.