Enhancement of ultrasound images using stochastic resonance-based wavelet transform

Computerized Medical Imaging and Graphics

Volumn 32, Issue 4, 2008, Pages 316-320

  Rallabandi, V P Subramanyam ^a  

^a NATIONAL BRAIN RESEARCH CENTRE   (India)

Author keywords

Image enhancement; Noise; Stochastic resonance; Ultrasound imaging; Wavelet transform

Indexed keywords

DIAGNOSIS; IMAGE ENHANCEMENT; NOISE ABATEMENT; SPURIOUS SIGNAL NOISE; WAVELET TRANSFORMS;

IMAGE NOISE LEVEL; STOCHASTIC RESONANCE;

ULTRASONIC IMAGING;

ARTICLE; DIAGNOSTIC IMAGING; IMAGE ANALYSIS; IMAGE ENHANCEMENT; NOISE REDUCTION; PRIORITY JOURNAL; ULTRASOUND; WAVEFORM;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; STOCHASTIC PROCESSES; ULTRASONOGRAPHY;

EID: 41649110008     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2008.02.001     Document Type: Article

References (18)

1. Gammaitoni L., Hanggi P., Jung P., et al. Stochastic resonance. Rev Mod Phys 70 1 (1998) 223-287
2. Hongler M., Meneses Y., Beyeler A., et al. The resonant retina: exploiting vibration noise to optically detect edges in an image. IEEE Trans Pattern Anal Mach Intell 25 9 (2003) 1051-1062
3. Marks R.J., Thompson B., El-Sharkawi M.A., et al. Stochastic resonance of a threshold detector: image visualization and explanation. Proceedings of the IEEE international symposium on systems and circuits (2002) 521-523
4. Ye Q., Huang H., He X., et al. A study on the parameters of bistable stochastic resonance systems and adaptive stochastic resonance. Proceedings of the IEEE international conference on robotics, intelligent systems and signal processing. China (2003) 484-488
5. Anischenko V.S., Neiman A.B., Moss F., et al. Stochastic resonance: noise-enhanced order. Physics-Uspekhi 42 1 (1999) 7-36
6. Mitaim S., and Kosko B. Adaptive stochastic resonance. Proc IEEE 86 11 (1998) 2152-2183
7. Lazaro J.C., San Emeterio J.L., Ramos A., and Fernandez J.L. Influence of thresholding procedures in ultrasonic grain noise reduction using wavelets. Ultrasonics 40 (2002) 263-267
8. Johnstone I.M., and Silverman B.W. Wavelet threshold estimators for data with correlated noise. J Roy Stat Soc 59 (1997) 319-351
9. Donoho D.L. De-noising by soft thresholding. IEEE Trans Inform Theory 41 (1995) 613-627
10. Jansen M. Noise Reduction by Wavelet Thresholding. Lecture notes in Statistics vol. 161 (2001), Springer-Verlag p. XXI 191
11. Abbate A., Koay J., Frankel J., Schroeder S.C., and Das P. Signal detection and noise suppression using a wavelet transform signal processor: application to ultrasonic flaw detection. IEEE Trans Ultrason Ferroelectr Freq Control 44 (1997) 14-25
12. Coifman R.R., and Donoho D.L. Translation-invariant de-noising. Wavelets and Statistics, Lecture Notes in Statistics vol. 103 (1995), Springer-Verlag pp. 125-150
13. Nason G.P., and Silverman B.W. The stationary wavelet transform and some statistical applications. Wavelets and Statistics, Lecture Notes in Statistics 103 (1995), Springer-Verlag 281-299
14. Lang M., Guo H., Odegard J.E., and Burrus C.S. Noise reduction using an undecimated discrete wavelet transform. IEEE Signal Process Lett 3 (1996) 10-12
15. Shensa M.J. The discrete wavelet transform: wedding the a' trous and Mallat algorithms. IEEE Trans Inform Theory 40 (1992) 2464-2482
16. Donoho D.L., and Johnstone I.M. Ideal spatial adaptation by wavelet shrinkage. Biometrika 81 (1994) 425-455
17. Donoho D.L., and Johnstone I.M. Adapting to unknown smoothness via wavelet shrinkage. J Am Stat Assoc 90 (1995) 1200-1224
18. Pardo E., San Emeterio J.L., Rodriguez M.A., and Ramos A. Noise reduction in ultrasonic NDT using undecimated wavelet transforms. Ultrasonics 44 (2006) e1063-e1067