Anisotropic selective inverse diffusion for signal enhancement in the presence of noise

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2000, Pages 221-224

  Gilboa, G ^a   Zeevi, Y Y ^a   Sochen, N ^a,b  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFUSION; INVERSE PROBLEMS; NONLINEAR EQUATIONS; BOUNDARY CONDITIONS; FUNCTIONS; ONE DIMENSIONAL; PARTIAL DIFFERENTIAL EQUATIONS; SPURIOUS SIGNAL NOISE;

DIFFUSION PROCESS; DYNAMIC PROCESS; GIVEN CRITERION; IMAGE PROPERTIES; INVERSE DIFFUSION; LOCAL GRADIENTS; ONE-DIMENSIONAL; PROCESS-BASED; SCALE SPACES; SIGNAL ENHANCEMENT;

IMAGE ENHANCEMENT;

INVERSE DIFFUSION; SIGNAL ENHANCEMENT;

EID: 0033677224     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.861922     Document Type: Conference Paper

References (16)

1. A. P. Witkin, "Scale space filtering", in Proc. Int. Joint Conf. On Artificial Intelligence, pp. 1019-1023, 1983.
2. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion", IEEE Trans. Pat. Anal. Machine Intel., vol. PAMI-12, no. 7, pp. 629-639, 1990.
3. Geometry-Driven Diffusion in Computer Vision. Ed. B. ter Haar Romeny, Kluwer Academic Publishers, 1994.
4. F. Catte, P. L. Lions, J. M. Morel and T. Coll, "Image selective smoothing and edge detction by nonlinear diffusion", SIAM J. Num. Anal., vol. 29, no. 1, pp. 182193, 1992.
5. R. T. Whitaker and S. M. Pizer, "A multi-scale approach to non uniform diffusion", CVG1P: Image Understanding, vol. 57, no. 1, pp. 99-110, 1993.
6. X. Li and T. Chen, "Nonlinear diffusion with multiple edginess thresholds", Pat. Rec., vol. 27, no. 8, pp. 10291037, 1994.
7. J. Weickert, B. Benhamouda, "A semidiscrete nonlinear scale-space theory and its relation to the Perona-Malik paradox", F. Solina (Ed.), Advances in computer vision, Springer, Wien, 1-10, 1997.
8. E. Radmoser, O. Scherzer and J. Weickert, "Scale-space properties of nonstationary iterative regularization methods", J. of Vis. Com. Image. Rep. To appear.
9. I. Pollak, A.S. Willsky, H. Krim, "Scale Space analysis by stabilized inverse diffusion equations", B. ter Haar Romeney (ed.), Scale-space theory in computer vision, LNCS, vol. 1252, Springer, Berlin, 200-211, 1997.
10. N. Sochen, R. Kimmel and R. Malladi, "A general frameworl for low-level vision", IEEE Trans. Image Processing vol. 7, (1998).
11. R. Kimmel, R. Malladi and N. Sochen, "Images as Embedding Maps and Minimal Surfaces: Movies, Color Texture and Volumetric Medical Images", Proc. IEEE CVPR'97, (1997) 350-355, and Int. J. Com. Vis. To appear.
12. J. Weickert, "Coherence-enhancing diffusion of colour images", Image and Vision Comp., 17 (1999) 199-210.
13. N. Sochen, "Stochastic processes in vision I: From Langevin to Beltrami", Technion CCIT report 285, 1999.
14. Y.Y. Zeevi, G. Gilboa, N. Sochen, "On the Application Diffusion-Type Processes in Image Filtering and Enhancement", Technion CCIT Report, in preparation.
15. S.J. Osher and L. I. Rudin, "Feature-Oriented Image enhancement using Shock Filters", SIAM J. Numer. Anal. 27, pp. 919-940, 1990.
16. N. Sochen and Y. Y. Zeevi, "Resolution Enhancement of Colored Images By Inverse Diffusion Processes", in Proceedings of IEEE ICASSP'98, Seattle, Washington, May 12-15 1998.