Method for identifying marked images based at least in part...

Image analysis – Learning systems – Trainable classifiers or pattern recognizers

Reexamination Certificate

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C382S100000, C382S191000, C380S038000

Reexamination Certificate

active

07925080

ABSTRACT:
Briefly, in accordance with one embodiment, a method of identifying marked images based at least in part on frequency domain coefficient differences is disclosed.

REFERENCES:
patent: 5533138 (1996-07-01), Kim et al.
patent: 5590064 (1996-12-01), Astle
patent: 5680266 (1997-10-01), Park
patent: 6028636 (2000-02-01), Matsui et al.
patent: 6111989 (2000-08-01), Chang et al.
patent: 6628821 (2003-09-01), Covell et al.
patent: 6678322 (2004-01-01), Mihara
patent: 6917902 (2005-07-01), Alexander
patent: 7058979 (2006-06-01), Baudry et al.
patent: 7200592 (2007-04-01), Goodwin et al.
patent: 2002/0122484 (2002-09-01), Mihara et al.
patent: 2002/0183984 (2002-12-01), Deng et al.
patent: 2005/0002569 (2005-01-01), Bober et al.
patent: 2007/0189600 (2007-08-01), Shi et al.
Manikopoulos et al, Detection of block DCT-based Steganography in gray scale images, 2002 IEEE, pp. 355-358.
International Search Report and Written Opinion, PCT/US06/01393, Jul. 15, 2008.
International Preliminary Report on Patentabilty issued in related International Application No. PCT/US2006/001393 on Apr. 28, 2009.

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