Universal minimax binary image denoising under channel uncertainty

Proceedings - International Conference on Image Processing, ICIP

Volumn 5, Issue , 2004, Pages 997-1000

  Gemelos, George ^a   Sigurjónsson, Styrmir ^a   Weissman, Tsachy ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY IMAGES; BINARY SYMMETRIC CHANNEL (BSC); CHANNEL UNCERTAINTY; NOISE DISTRIBUTION UNCERTAINTY;

COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; IMAGE RECONSTRUCTION; PROBLEM SOLVING; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

IMAGE ANALYSIS;

EID: 12444312164     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. E. Ordentlich, G. Seroussi, S. Verdú, M.J. Weinberger, and T. Weissman, "A universal discrete image denoiser and its application to binary images," in Proc. IEEE International Conference on Image Processing, Barcelona, Catalonia, Spain, Sept. 2003.
2. T. Weissman, E. Ordentlich, G. Seroussi, S. Verdú, and M. Weinberger, "Universal discrete denoising: Known channel," 2003, To appear in IEEE Trans. Inform. Theory (preprint available).
3. G. Gemelos, S. Sigurjònsson, and T. Weissman, "Universal discrete denoising under channel uncertainty," to appear in IEEE International Symposium on Information Theory, Chicago, Illinois, USA, June 2004.
4. R. Bradley, "Basic properties of strong mixing conditions," in E. Eberlein and M. S. Taqqu (eds), Dependence in Probability and Statistics, Boston: Birkhuser, 1986.
5. R. Bradley, "Equivalent mixing conditions for random fields," Ann. Probab., vol. 21, pp. 1921-1926, 1993.
6. G. Gemelos, S. Sigurjònsson, and T. Weissman, "Algorithms for universal discrete denoising under channel uncertainty," preprint available.