A strong robust multi level database image watermark embedding scheme based on the Chinese remainder theorem
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| Titel: | A strong robust multi level database image watermark embedding scheme based on the Chinese remainder theorem |
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| Autoren: | GENG Huizheng, GUO Sixu, LIU Yingqing, SU Li, HE Shen |
| Quelle: | Dianxin kexue, Vol 41, Pp 197-209 (2025) |
| Verlagsinformationen: | Beijing Xintong Media Co., Ltd, 2025. |
| Publikationsjahr: | 2025 |
| Bestand: | LCC:Telecommunication LCC:Technology |
| Schlagwörter: | database watermark, data traceability, Chinese remainder theorem, Harr wavelet transform, Telecommunication, TK5101-6720, Technology |
| Beschreibung: | With data gradually becoming a form of asset for enterprises, structured data is increasingly being shared both internally and externally to better leverage its value and avoid data silos. However, due to the fact that most existing digital watermarking schemes can only add watermark information once, repeated additions will overwrite the original watermark information, making it impossible to achieve multi-level traceability of data. In response to the above issues, a multi-level database image watermark embedding scheme based on the Chinese remainder theorem (MIWC) was proposed. This scheme used image watermarking as a carrier, preprocesses the image through Harr wavelet transform, Bloom filter and other methods to form pixel Bloom filter, and secretly segmented the watermark information according to the properties of the Chinese remainder theorem. The watermark information could be added step by step in a hierarchical manner, achieving the recording and traceability of the entire data flow chain. Functional analysis proves that the solution has the ability to embed multi-level watermarks that existing solutions do not have, and has high practical application value. Experimental results have shown that this scheme has reversibility and high efficiency in embedding and extracting watermarks. At the same time, the scheme has strong robustness, it can resist attacks against watermarks. |
| Publikationsart: | article |
| Dateibeschreibung: | electronic resource |
| Sprache: | Chinese |
| ISSN: | 1000-0801 |
| Relation: | https://doaj.org/toc/1000-0801 |
| DOI: | 10.11959/j.issn.1000-0801.2025181 |
| Zugangs-URL: | https://doaj.org/article/dff1c9c312e84d418d7392b29cf98dcc |
| Dokumentencode: | edsdoj.ff1c9c312e84d418d7392b29cf98dcc |
| Datenbank: | Directory of Open Access Journals |
Nájsť tento článok vo Web of Science | Abstract: | With data gradually becoming a form of asset for enterprises, structured data is increasingly being shared both internally and externally to better leverage its value and avoid data silos. However, due to the fact that most existing digital watermarking schemes can only add watermark information once, repeated additions will overwrite the original watermark information, making it impossible to achieve multi-level traceability of data. In response to the above issues, a multi-level database image watermark embedding scheme based on the Chinese remainder theorem (MIWC) was proposed. This scheme used image watermarking as a carrier, preprocesses the image through Harr wavelet transform, Bloom filter and other methods to form pixel Bloom filter, and secretly segmented the watermark information according to the properties of the Chinese remainder theorem. The watermark information could be added step by step in a hierarchical manner, achieving the recording and traceability of the entire data flow chain. Functional analysis proves that the solution has the ability to embed multi-level watermarks that existing solutions do not have, and has high practical application value. Experimental results have shown that this scheme has reversibility and high efficiency in embedding and extracting watermarks. At the same time, the scheme has strong robustness, it can resist attacks against watermarks. |
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| ISSN: | 10000801 |
| DOI: | 10.11959/j.issn.1000-0801.2025181 |