Abstract
In any application of watermarking, the selection of feature vectors from a given multimedia content is important from the perspective of robustness and security. In the case of PDF document, the spaces between words and characters are commonly utilized for embedding watermark in the conventional schemes. Instead of modifying the space values directly, researchers proposed to manipulate the frequency components of the space values by using the quantization index modulation (QIM) watermarking method. The QIM method is further combined with dither modulation (DM) to enhance secrecy of watermark. In this paper, we improve the imperceptibility of watermarked PDF document by investigating into the DM operation. The proposed method selects the best secret key among some candidates which minimizes the degradation caused by embedding watermark. Information about the selected key is also embedded as side information so that the embedded watermark can be extracted without referring to the original PDF document. The degree of distortion caused by watermark embedding is quantitatively measured in our experiment. It is verified that the gain in terms of signal-to-noise ratio in the proposed method is increased with the number of secret key candidates.
Original language | English |
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Title of host publication | 18th International Workshop, IWDW 2019 Chengdu, China, November 2–4, 2019 Revised Selected Papers |
Editors | Hongxia Wang, Xianfeng Zhao, Yunqing Shi, Hyoung Joong Kim, Alessandro Piva |
Place of Publication | Cham Switzerland |
Publisher | Springer |
Pages | 171-183 |
Number of pages | 13 |
ISBN (Electronic) | 9783030435752 |
ISBN (Print) | 9783030435745 |
DOIs | |
Publication status | Published - 2020 |
Event | International Workshop on Digital Forensics and Watermarking 2019 - Chengdu, China Duration: 2 Nov 2019 → 4 Nov 2019 Conference number: 18TH https://link.springer.com/book/10.1007/978-3-030-43575-2 (Proceedings) |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 12022 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Workshop on Digital Forensics and Watermarking 2019 |
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Abbreviated title | IWDW 2019 |
Country/Territory | China |
City | Chengdu |
Period | 2/11/19 → 4/11/19 |
Internet address |
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Keywords
- Dither modulation
- PDF document
- Quantization index modulation
- Watermark