Plug-and-Play priors for model based reconstruction

2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Volumn , Issue , 2013, Pages 945-948

  Venkatakrishnan, Singanallur V ^a   Bouman, Charles A ^a   Wohlberg, Brendt ^b  

^a PURDUE UNIVERSITY   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DE-NOISING ALGORITHM; DENOISING METHODS; FLEXIBLE FRAMEWORK; MODEL BASED INVERSION; MODEL BASED RECONSTRUCTION; OPTIMIZATION PROBLEMS; PHYSICAL MEASUREMENT; SOFTWARE INTEGRATION;

COMPUTERIZED TOMOGRAPHY; DATA PROCESSING; INVERSE PROBLEMS;

OPTIMIZATION;

EID: 84897731193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GlobalSIP.2013.6737048     Document Type: Conference Paper

References (24)

1. P. Milanfar, "A tour of modern image filtering: New insights and methods, both practical and theoretical," Signal Processing Magazine, IEEE, vol. 30, no. 1, pp. 106-128, 2013.
2. T. Goldstein and S. Osher, "The split Bregman method for L1-regularized problems," SIAM J. Img. Sci., vol. 2, no. 2, pp. 323-343, Apr. 2009.
3. A. Buades, B. Coll, and J. M. Morel, "A non-local algorithm for image denoising," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 2, 2005, pp. 60-65 vol. 2.
4. M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," Image Processing, IEEE Transactions on, vol. 15, no. 12, pp. 3736-3745, 2006.
5. K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," Image Processing, IEEE Transactions on, vol. 16, no. 8, pp. 2080-2095, 2007.
6. E. Haneda and C. Bouman, "Implicit priors for model-based inversion," in Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, 2012, pp. 3917-3920.
7. P. Chatterjee and P. Milanfar, "Patch-based near-optimal image denoising," Image Processing, IEEE Transactions on, vol. 21, no. 4, pp. 1635-1649, 2012.
8. Z. Yu, J. Thibault, C. Bouman, K. Sauer, and J. Hsieh, "Fast modelbased X-ray CT reconstruction using spatially nonhomogeneous ICD optimization," IEEE Trans. on Image Processing, vol. 20, no. 1, pp. 161-175, Jan. 2011.
9. S. V. Venkatakrishnan, L. F. Drummy, M. De Graef, J. P. Simmons, and C. A. Bouman, "Model based iterative reconstruction for bright field electron tomography," Proc. SPIE 8657, Computational Imaging XI, 86570A (February 14, 2013), pp. 86570A-86570A-12, 2013.
10. D. B. Husarik, D. Marin, E. Samei, S. Richard, B. Chen, T. A. Jaffe, M. R. Bashir, and R. C. Nelson, "Radiation dose reduction in abdominal computed tomography during the late hepatic arterial phase using a model-based iterative reconstruction algorithm: How low can we go?" Invest Radiol., vol. 47, no. 8, pp. 468-474, 2012.
11. H. Y. Liao and G. Sapiro, "Sparse representations for limited data tomography," in IEEE International Symposium on Biomedical Imaging, 2008, pp. 1375-1378.
12. S. Ravishankar and Y. Bresler, "MR image reconstruction from highly undersampled k-space data by dictionary learning," Medical Imaging, IEEE Transactions on, vol. 30, no. 5, pp. 1028-1041, May 2011.
13. A. Danielyan, V. Katkovnik, and K. Egiazarian, "BM3D frames and variational image deblurring," Image Processing, IEEE Transactions on, vol. 21, no. 4, pp. 1715-1728, 2012.
14. S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, "Distributed optimization and statistical learning via the alternating direction method of multipliers," Foundations and Trends in Machine Learning, vol. 3, no. 1, Jul. 2011.
15. M. Afonso, J. Bioucas-Dias, and M. A. T. Figueiredo, "Fast image recovery using variable splitting and constrained optimization," Image Processing, IEEE Transactions on, vol. 19, no. 9, pp. 2345-2356, 2010.
16. S. Ramani and J. Fessler, "Parallel MR image reconstruction using augmented Lagrangian methods," Medical Imaging, IEEE Transactions on, vol. 30, no. 3, pp. 694-706, 2011.
17. "A splitting-based iterative algorithm for accelerated statistical Xray CT reconstruction," Medical Imaging, IEEE Transactions on, vol. 31, no. 3, pp. 677-688, 2012.
18. M. G. McGaffin, S. Ramani, and J. A. Fessler, "Reduced memory augmented Lagrangian algorithm for 3D iterative X-ray CT image reconstruction," pp. 831 327-831 327-6, 2012.
19. R. Rockafellar, "Moreaus proximal mappings and convexity in Hamilton-Jacobi theory," in Nonsmooth Mechanics and Analysis, ser. Advances in Mechanics and Mathematics, P. Alart, O. Maisonneuve, and R. Rockafellar, Eds. Springer US, 2006, vol. 12, pp. 3-12.
20. Y. Huang, M. Ng, and Y. Wen, "A fast total variation minimization method for image restoration," Multiscale Modeling &Simulation, vol. 7, no. 2, pp. 774-795, 2008.
21. L. I. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Phys. D, vol. 60, no. 1-4, pp. 259-268, Nov. 1992.
22. J.-B. Thibault, K. D. Sauer, C. A. Bouman, and J. Hsieh, "A threedimensional statistical approach to improved image quality for multislice helical CT," Medical Physics, vol. 34, no. 11, pp. 4526-4544, 2007.
23. T. Frese, C. A. Bouman, and K. Sauer, "Multiscale Bayesian methods for discrete tomography," in Discrete Tomography: Foundations, Algorithms and Applications, G. T. Herman and A. Kuba, Eds. Birkhauser Boston, Cambridge, MA, 1999, pp. 237-261.
24. C. Bouman and K. Sauer, "A unified approach to statistical tomography using coordinate descent optimization," IEEE Trans. on Image Processing, vol. 5, no. 3, pp. 480-492, Mar. 1996.