Optimal Watermark Embedding and Detection Strategies Under Limited Detection Resources
نویسندگان
چکیده
منابع مشابه
Watermark Embedding and Detection
The popularity of Internet access has enabled the wide spread of digital multimedia contents in the form of image, video and audio; however, it also makes unauthorized copying and distribution easier. Researchers from both the industry and the academy have been trying to address this dilemma by watermarking techniques. Watermarking, as a prospective weapon against piracy, embeds ownership infor...
متن کاملar X iv : 0 70 5 . 19 19 v 1 [ cs . I T ] 1 4 M ay 2 00 7 Optimal Watermark Embedding and Detection Strategies Under Limited Detection Resources ∗
An information–theoretic approach is proposed to watermark embedding and detection under limited detector resources. First, we consider the attack-free scenario under which asymptotically optimal decision regions in the Neyman-Pearson sense are proposed, along with the optimal embedding rule. Later, we explore the case of zero-mean i.i.d. Gaussian covertext distribution with unknown variance un...
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In our previous work, we introduced a double-sided technique that utilizes but not reject the host interference. Due to its nice property of utilizing but not rejecting the host interference, it has a big advantage over the host interference schemes in that the perceptual analysis can be easily implemented for our scheme to achieve the locally bounded maximum embedding strength. Thus, in this w...
متن کاملOptimum watermark detection and embedding in digital images
One of the problems arising from the use of digital media is the ease of identical copies of digital images or audio files, allowing manipulation and unauthorized use. Copyright is an effective tool for preserving intellectual property of those documents but authors and publishers need effective techniques that prevent from copyright modification, due to the straightforward access to multimedia...
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ژورنال
عنوان ژورنال: IEEE Transactions on Information Theory
سال: 2008
ISSN: 0018-9448
DOI: 10.1109/tit.2007.911210