组合源编码和水印

E. Yang, Wei Sun
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引用次数: 1

摘要

研究了源编码与水印结合的新问题,将独立同分布(iid)源M与独立同分布(iid)主机信号S相关联,通过将M嵌入到S中,得到了源M可以从固定无记忆攻击信道p(y|x)干扰的水印信号中高概率恢复的充分必要条件。具体来说,当且仅当H(M)小于或等于max{I(U;Y) - I(U;M,S) + I(M;U,Y)时,M可以高概率恢复:U,X},其中对所有辅助随机变量U和X取最大值,使S和X之间的失真小于或等于规定的失真水平d。特别地,结果表明香农分离定理不能推广到这种情况,即即使H(M)严格大于水印容量,M仍然可以可靠地传输。在联合源编码和Gelfand-Pinsker信道编码的情况下,也建立了类似的结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combined Source Coding and Watermarking
A new problem termed as combined source coding and watermarking is investigated, where an independently and identically distributed (iid) source M correlated with an iid host signal S is to be transmitted by embedding M into S. A necessary and sufficient condition is derived under which the source M can be recovered with high probability from a watermarked signal disturbed by a fixed memoryless attack channel p(y|x). Specifically, it is shown that M can be recovered with high probability if and only if H(M) is less than or equal to max{I(U;Y) - I(U;M,S) + I(M;U,Y) : U,X}, where the maximization is taken over all auxiliary random variables U and X such that the distortion between S and X is less than or equal to a prescribed distortion level D. In particular, the result implies that the Shannon separation theorem can not be extended to this case, that is, it is still possible to transmit M reliably even when H(M) is strictly greater than the watermarking capacity. A similar result is also established in the case of combined source coding and Gelfand-Pinsker channel coding
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