The 3rd International Conference on Information Sciences and Interaction Sciences 2010
DOI: 10.1109/icicis.2010.5534674
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Applying dual digital watermarking technology in digital rights management

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Cited by 2 publications
(3 citation statements)
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“…While extraction, the two watermarks are compared with the original watermarks and the one whose similarity is higher is adopted as the required watermark. A dual digital watermarking technology for digital rights management is presented in [12], in this paper, the first watermark for copyright protection of the owner is embedded in the low and middle frequency of Discrete Cosine Transform coefficients of the cover image. The second watermark belongs to the customer is embedded in the DC coefficients.…”
Section: Related Workmentioning
confidence: 99%
“…While extraction, the two watermarks are compared with the original watermarks and the one whose similarity is higher is adopted as the required watermark. A dual digital watermarking technology for digital rights management is presented in [12], in this paper, the first watermark for copyright protection of the owner is embedded in the low and middle frequency of Discrete Cosine Transform coefficients of the cover image. The second watermark belongs to the customer is embedded in the DC coefficients.…”
Section: Related Workmentioning
confidence: 99%
“…multichannel watermarking. Also embedding two different watermarks containing information about the owner of the image and the client using the digital image may be deemed as parallel watermarking [27]. An example of a sequential algorithm may be the use of the DWT transform to initially process the image, and then to embed the mark represented in the DCT frequency domain [21].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, imperceptible methods may be further divided into those which use the perceptual models of a human being [4,55]-the Watson model may be given as an example [16,43]. There are many methods which do not take into account the perceptible models [9,17,18,27].…”
Section: Introductionmentioning
confidence: 99%