DocumentCode :
938176
Title :
Dual domain watermarking for authentication and compression of cultural heritage images
Author :
Zhao, Yang ; Campisi, Patrizio ; Kundur, Deepa
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume :
13
Issue :
3
fYear :
2004
fDate :
3/1/2004 12:00:00 AM
Firstpage :
430
Lastpage :
448
Abstract :
This paper proposes an approach for the combined image authentication and compression of color images by making use of a digital watermarking and data hiding framework. The digital watermark is comprised of two components: a soft-authenticator watermark for authentication and tamper assessment of the given image, and a chrominance watermark employed to improve the efficiency of compression. The multipurpose watermark is designed by exploiting the orthogonality of various domains used for authentication, color decomposition and watermark insertion. The approach is implemented as a DCT-DWT dual domain algorithm and is applied for the protection and compression of cultural heritage imagery. Analysis is provided to characterize the behavior of the scheme under ideal conditions. Simulations and comparisons of the proposed approach with state-of-the-art existing work demonstrate the potential of the overall scheme.
Keywords :
data compression; data encapsulation; discrete cosine transforms; discrete wavelet transforms; humanities; image coding; image colour analysis; message authentication; watermarking; DCT-DWT dual domain algorithm; chrominance watermark; color decomposition; color images; cultural heritage; data hiding; image authentication; image compression; multipurpose watermark; soft-authenticator watermark; tamper assessment; watermark insertion; Authentication; Color; Cultural differences; Data encapsulation; Digital signatures; Focusing; Image coding; Image processing; Protection; Watermarking; Algorithms; Anthropology, Cultural; Archaeology; Archives; Art; Computer Security; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Product Labeling; Quality Control; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2003.821552
Filename :
1278365
Link To Document :
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