Bayesian non local means-based speckle filtering

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 1291-1294

  Coupé, Pierrick ^a,b,c   Hellier, Pierre ^a,b,c   Kervrann, Charles ^b,d   Barillot, Christian ^a,b,c  

^a UNIVERSITÉ DE RENNES 1   (France)

^b CAMPUS DE BEAULIEU   (France)

^c INSERM   (France)

^d UR341 National Agronomical Research Institute (INRA)   (France)

Author keywords

Acoustic applications; Acoustics; Image enhancement; Image restoration

Indexed keywords

BAYESIAN NETWORKS; IMAGE ANALYSIS; SPECKLE; TECHNICAL PRESENTATIONS;

ACOUSTIC APPLICATIONS; ACOUSTICS; IMAGE ENHANCEMENT; IMAGE RESTORATION; INTERNATIONAL SYMPOSIUM;

ULTRASONIC IMAGING;

EID: 51049089936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541240     Document Type: Conference Paper

References (18)

1. J. S. Lee, "Digital image enhancement and noise filtering by use of local statistics," IEEE PAMI, vol. 2, pp. 165-168, 1980.
2. V.S. Frost et al., "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE PAMI, vol. 2, pp. 157-65, 1982.
3. D.T Kuan et al., "Adaptive noise smoothing filter for images with signal-dependent noise," IEEE PAMI, vol. 7, no. 2, pp. 165-177, 1985.
4. A. Lopes et al., "Adaptive speckle filters and scene heterogeneity," IEEE Trans. geosci. remote sensing, vol. 28, pp. 992-1000, 1990.
5. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE PAMI, vol. 12, no. 7, pp. 629-639, 1990.
6. L.I. Rudin et al., "Nonlinear total variation based noise removal algorithms," Physica D, vol. 60, pp. 259-268, 1992.
7. Y. Yu and S. T. Acton, "Speckle reducing anisotropic diffusion," IEEE TIP, vol. 11, no. 11, pp. 1260-1270, 2002.
8. K. Z. Abd-Elmoniem et al., "Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion.," IEEE TBE, vol. 49, no. 9, pp. 997-1014, 2002.
9. A. Pizurica et al., "A review of wavelet denoising in mri and ultrasound brain imaging," Current Medical Imaging Reviews, vol. 2, no. 2, pp. 247-260, 2006.
10. P. C. Tay et al., "A stochastic approach to ultrasound despeckling," in ISBI'06, 2006, pp. 221-224.
11. A. Buades et al., "A review of image denoising algorithms, with a new one," Multiscale Modeling & Simulation, vol. 4, no. 2, pp. 490-530, 2005.
12. C. Kervrann et al., "Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal," in SSVM' 07, 2007, pp. 520-532.
13. T. Loupas et al., "An adaptative weighted median filter for speckle suppression in medical ultrasound image," IEEE T. Circ. Syst., vol. 36, pp. 129-135, 1989.
14. Z. Tao et al., "Evaluation of four probability distribution models for speckle in clinical cardiac ultrasound images," IEEE TMI, vol. 25, no. 11, pp. 1483-1491, 2006.
15. G. Slabaugh et al., "Ultrasound-specific segmentation via decorrelation and statistical region-based active contours," in CVPR '06, 2006, vol. 1, pp. 45-53.
16. K. Krissian et al., "Speckle-constrained anisotropic diffusion for ultrasound images," in CVPR '05, 2005, pp. 547-552.
17. Coupé et al., "Fast Non Local Means Denoising for 3D MR Images," in MICCAI'06, 2006, LNCS 4191, pp. 33-40.
18. M. S. Jensen et al., "A method to obtain reference images for evaluation of ultrasonic tissue characterization techniques," Ultrasonics, vol. 40, no. 1-8, pp. 89-94, 2002.