Image analysis – Applications
Reexamination Certificate
2006-06-20
2006-06-20
Ahmed, Samir (Department: 2623)
Image analysis
Applications
C382S232000
Reexamination Certificate
active
07065226
ABSTRACT:
A method of embedding digital watermark information b1–bn(2≦n) in image data. The image data is divided into a plurality of areas S each consisting of M×N (1≦M, N) pixels. A plurality of areas G each consisting of P×Q (1≦P, Q) of the areas S are defined. Each of the areas S constituting each area G is allocated to some one of: areas T1–Tnin which said digital watermark information b1–bnis respectively embedded and areas H1–Hm(1≦m) in which information is not embedded. One or more areas T and one or more areas H are located in a predetermined arrangement in each area G. And, the plurality of areas G are located in a predetermined rule.
REFERENCES:
patent: 5721788 (1998-02-01), Powell et al.
patent: 6072888 (2000-06-01), Powell et al.
patent: 6285774 (2001-09-01), Schumann et al.
patent: 6341350 (2002-01-01), Miyahara et al.
patent: 6510233 (2003-01-01), Nakano
patent: 7-290767 (1995-11-01), None
Michell, Multimedia Data-Embedding and Watermarking Technologies, Proceeding of the I.E.E.E., vol. 86, No. 6, Jun. 1988.
Jana, Robust MPEG Video Watermarking Technologies, ACM Multimedia'98, UK, ACM 1-58113-036-8/98/0008.
Rakesh Dugad et al. “A New Wavelet-Based Schem for Watermarking Images”. I.E.E.E. Image Processing, 1998. vol. 2, pp. 419-423.
“Data Hiding Based on Neighbor Statistics”, Seiji Kobayashi, et al, Proceedings of the 56thNation Convention of Information Processing Society of Japan, 3-37 to 3-38.
Anzai Kousuke
Echizen Isao
Eikawa Shinobu
Yoshiura Hiroshi
Ahmed Samir
Hitachi , Ltd.
Le Brian
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