Denoising of medical images corrupted by poisson noise

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 1756-1759

  Rodrigues, Isabel ^a,b   Sanches, João ^b,d   Bioucas Dias, José ^c,d  

^a INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOA   (Portugal)

^b INSTITUTE FOR SYSTEMS AND ROBOTICS   (Portugal)

^c INSTITUTO DE TELECOMUNICAÇÕES   (Portugal)

^d INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Bayesian; Denoising; Multiplicative; Non local means; Poisson; Regularization; Total variation; Wavelets

Indexed keywords

BAYESIAN; DENOISING; MULTIPLICATIVE; NON-LOCAL MEANS; POISSON; REGULARIZATION; TOTAL VARIATION; WAVELETS;

ALGORITHMS; BAYESIAN NETWORKS; CONFOCAL MICROSCOPY; GAUSSIAN NOISE (ELECTRONIC); IMAGE PROCESSING; IMAGING SYSTEMS; POISSON DISTRIBUTION; POISSON EQUATION; WHITE NOISE;

EDGE DETECTION;

EID: 69949145140     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4712115     Document Type: Conference Paper

References (21)

1. R. Vio, J. Bardsley, and W. Wamsteker, "Least-squares methods with poissonian noise: an analysis and a comparison with the richardson-lucy algorithm," Astronomy and Astrophysics, vol. 436, pp. 741-755, 2005.
2. Leonid I. Rudin, Stanley Osher, and Emad Fatemi, "Nonlinear total variation based noise removal algorithms," in Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics: computational issues in nonlinear science, Amsterdam, The Netherlands, The Netherlands, 1992, pp. 259-268, Elsevier North-Holland, Inc.
3. N. Dey, L. Blanc-Féraud, C. Zimmer, Z. Kam, J.C. Olivo-Marin, and J. Zerubia, "A deconvolution method for confocal microscopy with total variation regular-ization," in Proc. IEEE International Symposium on Biomedical Imaging (ISBI), 2004.
4. Xiao-Qun Zhang and J. Froment, "Total variation based fourier reconstruction and regularization for computer tomography," Nuclear Science Symposium Conference Record, 2005 IEEE, vol. 4, pp. 2332-2336, 23-29 Oct. 2005.
5. J. Bardsley and A. Luttman, "Total variation-penalized poisson likelihood estimation for ill-posed problems," Tech. Rep. 8/2006, Department Math Sciences, University of Montana Missoula, 2006.
6. David L. Donoho and Iain M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, vol. 81, no. 3, pp. 425-455, 1994.
7. David L. Donoho, "De-noising by soft-thresholding," IEEE Transactions on Information Theory, vol. 41, no. 3, pp. 613-627, 1995.
8. M. Unser, A. Aldroubi, and A. Laine, "Guest editorial: Wavelets in medical imaging," IEEE Transactions on Medical Imaging, vol. 22, no. 3, pp. 285-288, 2003.
9. Panagiotis Besbeas, Italia De Feis, and Theofanis Sapatinas, "A comparative simulation study of wavelet shrinkage estimators for Poisson counts.," Int Stat. Rev., vol. 72, no. 2, pp. 209-237, 2004.
10. K.E. Timmermann and R. D. Nowak, "Multiscale modeling and estimation of poisson processes with application to photon-limited imaging," Information Theory, IEEE Transactions on, vol. 45, no. 3, pp. 846-862, Apr 1999.
11. R.D. Nowak and E.D. Kolaczyk, "A statistical multiscale framework for poisson inverse problems," Information Theory, IEEE Transactions on, vol. 46, no. 5, pp. 1811-1825, Aug 2000.
12. R.M. Willett and R.D. Nowak, "Fast multiresolution photon-limited image reconstruction," Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on, pp. 1192-1195 Vol. 2, 15-18 April 2004.
13. R.D. Nowak and M. A. T. Figueiredo, "Unsupervised progressive parsing of poisson fields using minimum description length criteria," Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on, vol. 2, pp. 26-30, 1999.
14. A. Buades, B. Coll, and J. M. Morel, "A review of image denoising algorithms, with anew one," SIAM Multiscale Model. Simul, vol. 4, no. 2, pp. 490-530, 2005.
15. M. Mahmoudi and G. Sapiro, "Fast image and video denoising via nonlocal means of similar neighborhoods," Signal Processing Letters, IEEE, vol. 12, no. 12, pp. 839-842, Dec. 2005.
16. P. Coupé, P. Yger, and C. Barillot, "Fast Non Local Means Denoising for 3D MR Images," in 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'2006, R. Larsen, M. Nielsen, and J. Sporring, Eds., Copenhagen, Denmark, October 2006, vol. 4191 of Lecture Notes in Computer Science, pp. 33-40, Springer.
17. K. Dabov, A. Foi, V Katkovnik, and K. Egiazarian, "Image denoising by sparse 3d-transform domain collaborative filtering," IEEE Trans. on Image Processing, vol. 16, no. 8, pp. 2080-2095, 2007.
18. Jérõme Boulanger, Charles Kervrann, and Patrick Bouthemy, "Space-time adaptation for patch-based image sequence restoration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 1096-1102, 2007.
19. C. Tomasi and R Manduchi, "Bilateral filtering for gray and color images," in ICCV '98: Proceedings of the Sixth International Conference on Computer Vision, Washington, DC, USA, 1998, p. 839, IEEE Computer Society.
20. Antonin Chambolle, "Total variation minimization and a class of binary mrf models," in EMMCVPR, 2005, pp. 136-152.
21. M.A.T. Figueiredo, J.B. Dias, J.P Oliveira, and R.D. Nowak, "On total variation denoising: A new majorization-minimization algorithm and an experimental comparisonwith wavalet denoising," Image Processing, 2006 IEEE International Conference on, pp. 2633-2636, 8-11 Oct. 2006.