Elements of information theory
Elements of information theory
Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
Design and analysis of digital watermarking, information embedding, and data hiding systems
Design and analysis of digital watermarking, information embedding, and data hiding systems
On achievable regions of public multiple-access gaussian watermarking systems
IH'04 Proceedings of the 6th international conference on Information Hiding
IEEE Transactions on Information Theory
The Gaussian watermarking game
IEEE Transactions on Information Theory
On the error exponent and capacity games of private watermarking systems
IEEE Transactions on Information Theory
Information-theoretic analysis of information hiding
IEEE Transactions on Information Theory
On the capacity game of public watermarking systems
IEEE Transactions on Information Theory
On the capacity game of private fingerprinting systems under collusion attacks
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On joint information embedding and lossy compression
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
The multiple-access channel with partial state information at the encoders
IEEE Transactions on Information Theory
On joint coding for watermarking and encryption
IEEE Transactions on Information Theory
Capacity With Causal and Noncausal Side Information: A Unified View
IEEE Transactions on Information Theory
On the limits of steganography
IEEE Journal on Selected Areas in Communications
Coding schemes for relay-assisted information embedding
IEEE Transactions on Information Forensics and Security
On the hybrid multi-watermarking
Signal Processing
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Information embedding (IE) is the transmission of information within a host signal subject to a distortion constraint. There are two types of embedding methods, namely irreversible IE and reversible IE, depending upon whether or not the host, as well as the message, is recovered at the decoder. In irreversible IE, only the embedded message is recovered at the decoder, and in reversible IE, both the message and the host are recovered at the decoder. In this paper, combinations of irreversible and reversible IE in multiple access channels (MAC) and physically degraded broadcast channels (BC) are considered. In this paper,MAC IE in which separate encoders embed their messages into their host signals subject to distortion constraints is considered. The embedded signals from the two encoders are transmitted to a single decoder across a MAC. For the MAC IE model, the following three cases are considered: A) no host recovery at the decoder, B) lossless recovery of one host at the decoder, and C) lossless recovery of both hosts at the decoder. For the cases A and B, inner bounds on the respective capacity regions are developed. For the case C, inner and outer bounds on the capacity region are developed, and the capacity region is obtained if the hosts are independent. In this paper, BCIE in which two messages intended for separate decoders are embedded into a given host sequence by a single encoder subject to a distortion constraint is also considered. For the BC IE model, the following four cases are considered: A') lossless recovery of the host sequence at neither of the decoders, B') lossless recovery of the host sequence at only the better decoder, C') lossless recovery of the host sequence at both decoders, and D') lossless recovery of the host sequence at only the worse decoder. For cases A' and B', inner and outer bounds on the respective capacity regions are developed. For cases C' and D', the identical capacity regions are obtained.