DocumentCode
1147692
Title
On Joint Information Embedding and Lossy Compression in the Presence of a Stationary Memoryless Attack Channel
Author
Maor, Alina ; Merhav, Neri
Author_Institution
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Volume
51
Issue
9
fYear
2005
Firstpage
3166
Lastpage
3175
Abstract
We consider the problem of optimum joint public information embedding and lossy compression with respect to a fidelity criterion. The decompressed composite sequence (stegotext) is distorted by a stationary memoryless attack, resulting in a forgery which in turn is fed into the decoder, whose task is to retrieve the embedded information. The goal of this paper is to characterize the maximum achievable embedding rate
(the embedding capacity
) as a function of the compression (composite) rate
and the allowed average distortion level
, such that the average probability of error in decoding of the embedded message can be made arbitrarily small for sufficiently large block length. We characterize the embedding capacity and demonstrate how it can be approached in principle. We also provide a single-letter expression of the minimum achievable composite rate as a function of
and
, below which there exists no reliable embedding scheme.
(the embedding capacity
) as a function of the compression (composite) rate
and the allowed average distortion level
, such that the average probability of error in decoding of the embedded message can be made arbitrarily small for sufficiently large block length. We characterize the embedding capacity and demonstrate how it can be approached in principle. We also provide a single-letter expression of the minimum achievable composite rate as a function of
and
, below which there exists no reliable embedding scheme.Keywords
data compression; data encapsulation; decoding; entropy codes; error statistics; memoryless systems; rate distortion theory; watermarking; decoder; decompressed composite sequence; entropy coding; error probability; information hiding; joint public information embedding; lossy compression; rate-distortion theory; single-letter expression; stationary memoryless attack channel; watermarking; Capacity planning; Decoding; Forgery; Helium; Information retrieval; Protection; Rate-distortion; Robustness; Signal processing; Watermarking; Entropy coding; information embedding; information hiding; lossless/lossy compression; rate-distortion theory; watermarking;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2005.853315
Filename
1499049
Link To Document