Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images

IEEE Transactions on Medical Imaging

Volumn 25, Issue 3, 2006, Pages 297-311

  Yue, Yong ^a,b   Croitoru, Mihai M ^a,c   Bidani, Akhil ^a,c   Zwischenberger, Joseph B ^a,d   Clark Jr , John W ^a,b  

^a IEEE   (United States)

^b Rice University   (United States)

^c UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^d UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

Author keywords

Dyadic wavelet transform; Iterative denoising; Multiscale analysis; Nonlinear diffusion; Speckle suppression; Ultrasound imaging; Wavelet diffusion. 2006 ieee

Indexed keywords

DYADIC WAVELET TRANSFORM; ITERATIVE DENOISING; MULTISCALE ANALYSIS; NONLINEAR DIFFUSION; SPECKLE SUPPRESSION; ULTRASOUND IMAGING; WAVELET DIFFUSION. © 2006 IEEE;

DIFFUSION; IMAGE QUALITY; ITERATIVE METHODS; LIGHT INTERFERENCE; MATHEMATICAL MODELS; MEDICAL IMAGING; NONLINEAR SYSTEMS; OPTICAL RESOLVING POWER; SPECKLE; WAVELET TRANSFORMS;

ULTRASONIC IMAGING;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NONLINEAR SYSTEM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 33644619828     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2005.862737     Document Type: Article

References (29)

1. J. S.Lee, "Digital image enhancement and noise filtering by use of local statistics," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-2, pp. 165-168, Mar. 1980.
2. X. Zong, A. F. Laine, and E. A. Geiser, "Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing," IEEE Trans. Med. Imag., vol. 17, no. 8, pp. 532-540, Aug. 1998.
3. A. Pizuriaca, W. Philips, I. Lemahieu, and M. Acheroy, "A versatile wavelet domain noise filtration technique for medical imaging," IEEE Trans. Med. Imag., vol. 22, no. 3, pp. 323-331, Mar. 2003.
4. D. Mumford and J. Shah, "Optimal approximations by piecewise smooth functions and associated variational problems," Commun. Pure Appl. Math., vol. 42, pp. 577-684, 1989.
5. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 7, pp. 629-639, Jul. 1990.
6. J. Weickert, Anisotropic Diffusion in Image Processing. Stuttgart, Germany: Teubner, 1998.
7. L. I. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noiseremoval algorithms," Physica D, vol. 20, pp. 259-268, 1992.
8. Y. Yu and S. T. Acton, "Speckle reducing anisotropic diffusion," IEEE Trans. Image Process., vol. 11, no. 11, pp. 1260-1270, Nov. 2002.
9. V. S. Frost, K. Shanmugan, and J. Holtzman, "A model for radar images and its applications to adaptive digital filtering of multiplicative noise," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-4, pp. 157-165, 1982.
10. S. Foucher, G. Bénié, and J.-M. Boucher, "Multiscale map filtering of SAR images," IEEE Trans. Image Process., vol. 10, no. 1, pp. 49-60, Jan. 2001.
11. F. Argenti and L. Alparone, "Speckle removal from SAR images in the undecimated wavelet domain," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 11, pp. 2363-2374, Nov. 2002.
12. M. Dia, C. Peng, A. K. Chan, and D. Loguinov, "Bayesian wavelet shrinkage with edge detection for SAR image despeckling," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 8, pp. 1642-1648, Aug. 2004.
13. A. C. Shih, H. M. Liao, and C. Lu, "A new iterated two-band diffusion equation: theory and its application," IEEE Trans. Image Process., vol. 12, no. 4, pp. 466-476, Apr. 2003.
14. J. S. Jin, Y. Wang, and J. Hiller, "An adaptive nonlinear diffusion algorithm for filtering medical images," IEEE Trans. Inf. Technol. Biomed., vol. 4, no. 12, pp. 298-305, Dec. 2000.
15. S. Mallat and S. Zhong, "Characterization of signals from multiscale edges," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 7, pp. 710-732, Jul. 1992.
16. N. F. Law and W. C. Siu, "An efficient computational scheme for the two-dimensional overcomplete wavelet transform," IEEE Trans. Signal Process., vol. 50, no. 11, pp. 2806-2819, Nov. 2002.
17. P. Mrázek, J. Weickert, and G. Steidl, Lecture Notes in Computer Science, L. D. Griffin Steidl and M.Lillholm Steidl, Eds. Berlin, Germany: Springer-Verlag, 2003, vol. 2695, Correspondences Between Wavelet Shrinkage and Nonlinear Diffusion. Scale-Space, pp. 101-116.
18. J. Weickert, "A review of nonlinear diffusion filtering," in Lecture Notes in Computer Science. Berlin, Germany: Springer-Verlag, 1997, vol. 1252, Scale-Space Theory in Computer Vision, pp. 3-28.
19. D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, vol. 81, no. 3, pp. 425-455, 1994.
20. M. Simard, G. DeGrandi, K. P. B. Thomson, and G. B. Benie, "Analysis of speckle noise contribution on wavelet decomposition of SAR images," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 11, pp. 1953-1962, Nov. 1998.
21. V. Dutt and J. Greenleaf, "Adaptive speckle reduction filter for log-compressed b-scan images," IEEE Trans. Med. Imag., vol. 15, no. 6, pp. 802-813, Dec. 1996.
22. A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sens., vol. 28, no. 6, pp. 992-1000, Jun. 1990.
23. S. Solbø and T. Eltoft, "Homomorphic wavelet-based statistical despeckling of SAR images," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 4, pp. 711-721, Apr. 2004.
24. A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Statist. Soc., ser. B, vol. 39, no. 1, pp. 1-38, 1977.
25. K. V. Mardia and T. J. Hainsworth, "A spatial thresholding method for image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 10, no. 11, pp. 919-927, Nov. 1988.
26. F. Sattar, L. Floreby, G. Salomonsson, and B. Lovstrom, "Image enhancement based on a nonlinear multiscale method," IEEE Trans. Image Process., vol. 6, no. 6, pp. 888-895, Jun. 1997.
27. A. Achim, A. Bezerianos, and P. Tsakalides, "Novel Bayesian multiscale methods for speckle removal in medical ultrasound images," IEEE Trans. Med. Imag., vol. 20, no. 8, pp. 772-783, Aug. 2001.
28. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
29. W. K. Pratt, Digital Image Processing. New York: Wiley, 1977.