Image reconstruction using the Benford law

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 2029-2032

  Sanches, João ^a   Marques, Jorge S ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Biomedical imaging; Image reconstruction; Image restoration

Indexed keywords

BIOMEDICAL IMAGING; IMAGE RESTORATION; LOGARITHMIC DISTRIBUTION; MEDICAL IMAGES; PARAMETER-TUNING; REAL SIGNALS; RECONSTRUCTION ALGORITHMS;

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; MAGNETIC RESONANCE IMAGING; RESTORATION;

MEDICAL IMAGING;

EID: 78649891162     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312845     Document Type: Conference Paper

References (14)

1. Chang, G., Yu, B., and Vetterli, M. Adaptive wavelet thresholding for image denoising and compression, IEEE Trans. Image Processing, 9 (2000), 1532-1546.
2. C. Riddell, H. Benali, I. Buvat, Diffusion Regularization for Iterative Reconstruction in Emission Tomography, IEEE Trans. Nuclear Science, VOL. 52, 669-675, 2005 (Pubitemid 41172558)
3. T. Deschamps, R. Malladi, I. Ravve, Fast Evolution of Image Manifolds and Application to Filtering and Segmentation in 3D Medical Images, IEEE Trans. Visualization and Computer Graphics, Vol. 10, 525-535, 2004
4. M. R. Banham, A. K. Katsaggelos, Digital Image Restoration, IEEE Signal Processing Magazine, Vol. 14, n 2, March 1997.
5. S. Geman, D. McClure, Bayesian Image Analysis: An Application to single photon emission tomography, Proc. Statist. Comput. Sect., Amer.Stat.Assoc., pp.12-18, 1985.
6. Newcomb S., Note on the frequency of use of different digits in natural numbers, Amer. Math. vol.4, pp.39-40, 1881.
7. Benford F., The law of anomalous numbers, Proc. Amer. Phil. Soc. vol.78, pp.551-572, 1938.
8. Hill T.P., The Significant-Digit Phenomenon, American Matehematical Monthly vol.102, pp.322-327, 1995.
9. Varian H., Benford's Law, Amer. Stat. vol.26, pp.65-66, 1972.
10. Jolion J.M., Images and Benford's Law, Journal of Math. Imaging and Vision, vol.14, pp.73-81, 2001.
11. Black M. J., A. Rangarajan, On the unification of line processes, outlier rejection and robust statistics with applications in early vision, Journal of Comp. Vis, 1996.
12. C.R.Vogel, M.E.Oman, Fast, Robust Total Variation-Based Reconstruction of Noisy, Blurred Imges, IEEE Trans. on Image Processing, Vol.7, no.6, June 1998.
13. Bouman C., Sauer K., A Generalized Gaussian Image Model for Edge-Preserving MAP Estimation, IEEE Trans. Image Process., vol. 2, no. 3, pp. 296-310, July 1993.
14. J.M.Bioucas-Dias, Fast GEM wavelet-based image deconvolution algorithm, IEEE ICIPCO3, vol.2,pp.961-964,2003.