Coded data generation or conversion – Digital code to digital code converters – To or from code based on probability
Reexamination Certificate
2007-09-18
2007-09-18
Nguyen, Linh V. (Department: 2819)
Coded data generation or conversion
Digital code to digital code converters
To or from code based on probability
C375S346000
Reexamination Certificate
active
11180066
ABSTRACT:
A discrete, universal denoising method is applied to a noisy signal for which the source alphabet is typically large. The method exploits a priori information regarding expected characteristics of the signal. In particular, using characteristics of a continuous tone image such as continuity and small-scale symmetry allows definition of context classes containing large numbers of image contexts having similar statistical characteristics. Use of the context classes allows extraction of more reliable indications of the characteristic of a clean signal.
REFERENCES:
patent: 5533033 (1996-07-01), Ratner
patent: 6161209 (2000-12-01), Moher
patent: 6199186 (2001-03-01), Chen et al.
patent: 6542644 (2003-04-01), Satoh
patent: 6700933 (2004-03-01), Wu et al.
patent: 7031884 (2006-04-01), Radulovic et al.
patent: 7047472 (2006-05-01), Weissman et al.
patent: 7064489 (2006-06-01), Price
patent: 7095344 (2006-08-01), Sekiguchi et al.
patent: 7120308 (2006-10-01), Guleryuz
patent: 7133808 (2006-11-01), Radulovic et al.
Weissman et al—“Universal Discrete Denoising; Known Channel”—HP LAbs Technical Report—HPL-2003-29—Feb. 10, 2003.
Weinberger et al—“ASpplications of Universal Context Modeling to Lossless Compression of Gray-Scale Images”—Proc Conf on Signals, Systems and Computers—vol. 2 1995.
Weissman et al—“Universal Discrete Denoising”—Proc of the Information Theory Workshop Oct. 2002.
Motta Giovanni
Ordentlich Erik
Seroussi Gadiel
Verdu Sergio
Weinberger Marcelo
Hewlett--Packard Development Company, L.P.
Nguyen Linh V.
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