Hyperanalytic thresholding

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 1421-1424

  Olhede, Sofia C ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Hilbert transforms; Image reconstruction; Image representation; Threshold coding

Indexed keywords

COMPUTATIONAL COSTS; DECOMPOSITION COEFFICIENT; FUNCTION DECOMPOSITION; HILBERT TRANSFORM; IMAGE REPRESENTATIONS; PHASE SHIFTED; RECONSTRUCTED IMAGE; SPATIAL FREQUENCY; SPATIAL LOCATION; THRESHOLD CODING; THRESHOLD CRITERION; THRESHOLDING; UNIVERSAL THRESHOLD;

IMAGE RECONSTRUCTION; IMAGING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; WHITE NOISE;

IMAGE CODING;

EID: 78649844976     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312693     Document Type: Conference Paper

References (12)

1. D.L. Donoho and I.M. Johnstone, "Ideal spatial adaption via wavelet shrinkage," Biometrika, vol. 81, pp. 425-55, 1994.
2. T. Cai and B.W. Silverman, "Incorporating information on neighbouring coefficients into wavelet estimation," Sankhya Ser B, vol. 63, pp. 127-48, 2001.
3. P.L. Dragotti and M. Vetterli, "Wavelet footprints: theory, algorithms and applications," IEEE Trans. Signal Processing, vol. 51, pp. 1306-23, 2003.
4. A. Pižurica, W. Philips, I. Lemahieu, and M. Acheroy, "A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising," IEEE Trans on Image Proc, vol. 11, pp. 545-57, 2002.
5. S.C. Olhede and A.T. Walden, "'Analytic' wavelet thresholding," Biometrika, vol. 91, pp. 955-73, 2004.
6. S. Mallat, A wavelet tour of signal processing, Academic Press, New York, USA, 1999.
7. B. Boashash, "Note on the use of the Wigner distribution for time-frequency signal analysis," IEEE Trans. Accoust., Speech, Signal Proc, vol. 36, pp. 1518-21, 1988.
8. M. Felsberg and G. Sommer, "The monogenic signal," IEEE Trans Signal Proc, vol. 49, pp. 3136-3144,2001.
9. T. Biilow and G. Sommer, "Hypercomplex signals - a novel extension of the analytic signal to the multidimensional case," IEEE Trans Signal Proc, vol. 49, pp. 2844-52, 2001.
10. V. Strela and Walden A.T., "Signal and image denoising via wavelet thresholding: orthogonal, biorthogonal, scalar and multiple wavelet transforms," in Nonlinear and Nonstationary Signal Processing. Cambridge University Press, 2000, pp. 395-441.
11. J.L. Starck, E.J. Candes, and D.L. Donoho, "The curvelet transform for image denoising," IEEE Trans. Image Processing, vol. 11, pp. 670-84, 2002.
12. S. Barber and G.P. Nason, "Denoising real images using complex-valued wavelets," in Stochastic Geometry, Biological Structure and Images. Department of Statistics, University of Leeds, 2003, pp. 91-95.