DocumentCode
382228
Title
Information embedding codes matched to locally stationary Gaussian image models
Author
Mihçak, M. Kivanç ; Moulin, Pierre
Author_Institution
Microsoft Res., Redmond, WA, USA
Volume
2
fYear
2002
fDate
2002
Abstract
We have designed a practical information embedding code for images. The method assumes a locally i.i.d. (independent identically distributed) Gaussian source model for wavelet image coefficients. The proposed algorithm is developed based on this model and recent information theoretic results on information hiding for parallel Gaussian channels. Promising results have been obtained on test images.
Keywords
Gaussian channels; Gaussian distribution; combined source-channel coding; data encapsulation; image coding; transform coding; wavelet transforms; code matching; independent identically distributed source model; information embedding codes; information hiding; locally iid Gaussian source model; locally stationary Gaussian image models; parallel Gaussian channels; wavelet image coefficients; Data encapsulation; Decoding; Fingerprint recognition; Gaussian channels; Image coding; Robustness; Steganography; Testing; Tin; Watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7622-6
Type
conf
DOI
10.1109/ICIP.2002.1039906
Filename
1039906
Link To Document