2010
DOI: 10.1016/j.simpat.2009.09.004
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Metadata-based image watermarking for copyright protection

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Cited by 88 publications
(30 citation statements)
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“…12, and use different weighting factors in different rounds for producing predicted image After calculating the difference between predicted and original image in Eqs. (9) and (10), histogram of D(k) can be obtained. We set EL=15 in the first round, and then r em ¼ 15 2 Ä Å ¼ 7.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…12, and use different weighting factors in different rounds for producing predicted image After calculating the difference between predicted and original image in Eqs. (9) and (10), histogram of D(k) can be obtained. We set EL=15 in the first round, and then r em ¼ 15 2 Ä Å ¼ 7.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, difference histogram corresponding to original image D(k) can be calculated with Eqs. (9) and (10). By adding back the difference values, original image X(i, j) can be recovered.…”
Section: Proposed Algorithm and One Examplementioning
confidence: 99%
“…Metadata selain dapat digunakan sebagai perlindungan hak cipta citra digital, juga dapat digunakan sebagai alat bukti di persidangan. Karena didalamnya tersimpan semua informasi data citra digital tersebut (Huang & Fang, 2010).…”
Section: Tinjauan Pustakaunclassified
“…The other one is the verification algorithm, which is executed by a verifier to check whether the outsourced file is kept intact. Huang and Fang [3] proposed a practical application for copyright protection of images with watermarking by using the EXIF metadata of images and error-control codes are integrated into the algorithm and corresponding applications, Huang and Fang focused on the copyright protection for images taken by ordinary cameras by use of robust watermarking, it generally alters selected coefficients of the contents to accomplish the embedding process for robust watermarking is one of the major branches in digital rights management (DRM) systems and digital forensics. Krishnappa and Turner [4] described a software system that was built to successfully manage a large behavioral camera trap study that produced more than a million photographs and the software system has the ability to automatically extract metadata from images, and add customized metadata to the images in a standardized format.…”
Section: Introductionmentioning
confidence: 99%