Comparative analysis of curvelet based techniques for denoising of computed tomography images

2011 International Conference on Devices and Communications, ICDeCom 2011 - Proceedings

Volumn , Issue , 2011, Pages

  Bhadauria, H S ^a   Dewal, M L ^a   Anand, R S ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Computed Tomography; Curvelet transform; Wavelet transform

Indexed keywords

COMPARATIVE ANALYSIS; COMPARATIVE STUDIES; COMPUTED TOMOGRAPHY; COMPUTED TOMOGRAPHY IMAGES; CURVELET TRANSFORMS; CURVELETS; CYCLE-SPINNING; DE-NOISING; DENOISING METHODS; EDGE PRESERVATIONS; MULTISCALES; NOISE REDUCTION METHODS; NOISE SUPPRESSION; PEAK SIGNAL TO NOISE RATIO; PERFORMANCE ASSESSMENT; QUALITY ASSESSMENT; QUALITY INDICES; WAVELET-BASED METHODS;

WAVELET ANALYSIS; WAVELET TRANSFORMS;

COMPUTERIZED TOMOGRAPHY;

EID: 84858147157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDECOM.2011.5738492     Document Type: Conference Paper

References (20)

1. P. Gravel, G. Beaudoin, and J. A. De Guise, "A method for modeling noise in medical images," IEEE Trans. Med. Imag., vol. 23, no. 10, pp. 1221-1232, Oct. 2004.
2. C. J. Garvey and R. Hanlon, "Computed tomography in clinical practice," BMJ, vol. 324, no. 7345, pp. 1077-1080, May 2002. (Pubitemid 34492818)
3. H. Lu, X. Li, I. T. Hsiao, and Z. Liang, "Analytical noise treatment for low-dose CT projection data by penalized weighted least-squares smoothing in the K-L domain," Proc. SPIE, Medical Imaging 2002, vol. 4682, pp. 146-152. (Pubitemid 35237107)
4. H. Lu, I. T. Hsiao, X. Li, and Z. Liang, "Noise properties of low-dose CT projections and noise treatment by scale transformations," in Conf. Rec. IEEE Nuclear Science Symposiump., Nov. 2001, vol. 3, pp. 1662-1666.
5. J.S. Lee, "Refined filtering of image noise using local statistics" Comput. Graphics Image Process, vol. 15, pp. 380-389, 1981.
6. D.L. Donoho, "Denoising by soft thresholding," IEEE Trans. Inform. Theory, vol. 41, pp. 613-627, 1995.
7. S. Grace Chang, Bin Yu and M. Vatterel, "Wavelet Thresholding for Multiple Noisy Image Copies" IEEE Transaction. Image Processing, vol. 9, pp.1631-1635, 2000.
8. D.L. Donoho and I.M. Johnstone. "Adapting to unknown smoothness via wavelet shrinkage" Journal of American Statistical Association, Vol. 90, no. 432, pp1200-1224,1995. (Pubitemid 126093135)
9. A. M. Alsaidi, M. T. Ismail, "A comparision of some thresholding selection methods for wavelet regression" World Academy of Science, Engineering and Technology, Vol. 62,pp 119-125, 2010.
10. R. R. Coifman and D. L. Donoho, "Translation-Invariant De-Noising," In Wavelets and Statistics, Springer Lecture Notes in Statistics 103. New York: Springer-Verlag, 1994, pp. 125-150.
11. I.A.Ismail, and T.Nabil, "Applying Wavelet Recursive Translation-Invariant to Window Low-Pass Filtered Images," International Journal of Wavelets, Multiresolution And Information Processing, Vol.2, No.1, 2004 , p.p.99-110.
12. S. Qin, C. Yang, B. Tang and S. Tan, "The denoise based on translation invariance wavelet transform and its applications," A Conference on Structural Dynamics, Los Angeles, vol. 1, pp. 783-787, Feb. 2002. (Pubitemid 35313631)
13. D. L. Donoho, and M. R. Duncan "Digital Curvelet Transform: Strategy, Implementation and experiments"Standford University. November 1999.
14. J. L. Starck, F. Murtagh, E. J. Candes, and D. L. Donoho, " Gray and color image contrast enhancement by the curvelet transform" IEEE Trans. on Image Processing, 12(6):706-717, June 2003.
15. J. L. Starck, E. J. Candes, and D. L. Donoho, " The curvelet transform for image denoising" IEEE Trans. on Image Processing, 11(6):670-684, June 2002. (Pubitemid 34814390)
16. E. J. Candes, L. Demanet, D. L. Donoho and L Ying, "Fast Discrete Curvelet Transforms" 2005 http://www.curvelet.org.papers.FDCT.pdf
17. W. Aili, Z. Ye, M. Shaoliang, Y. Mingji " Image Denoising method based on curvelet transform" 3rd IEEE Conference on Industrial Electronics and Applications,pp 571-574, 2008.
18. Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, "Image quality assessment: From error measurement to structural similarity," IEEE Trans. Image Processing, vol. 13, no. 4, pp. 600-612, April 2004.
19. Z. Wang and A. Bovik, "A universal quality index," IEEE Signal Process. Letter, vol. 9, no. 3, pp. 81-84, March 2002.
20. C. Oliver, and S. Quegan, "Understanding Synthetic Aperture Radar Images", Artech House, Boston, 1999.