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Related Experiment Videos

A strong robust multi level database image watermark embedding scheme based on the Chinese remainder theorem.

Huizheng Geng1, Sixu Guo2,3, Yingqing Liu1

  • 1Department of Security Technology, China Mobile Research Institute, Beijing, 100053, China.

Scientific Reports
|June 2, 2026
PubMed
Summary

This study introduces a novel multi-level image watermarking scheme (MIWC) for enhanced data traceability. MIWC utilizes the Chinese Remainder Theorem to embed multiple watermarks without overwriting, ensuring data integrity and security.

Keywords:
Bloom filterChinese remainder theoremDatabase watermarkHaar wavelet transformWatermark robustness

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Area of Science:

  • Computer Science
  • Information Security
  • Digital Image Processing

Background:

  • Existing digital watermarking schemes struggle with overwriting issues during repeated watermark additions.
  • This limitation hinders multi-level data traceability and robust information embedding.

Purpose of the Study:

  • To propose a multi-level database image watermark embedding scheme (MIWC) for overcoming the limitations of existing methods.
  • To enable hierarchical and sequential embedding of watermark information for enhanced data traceability.

Main Methods:

  • The proposed MIWC scheme employs the Chinese Remainder Theorem for secret segmentation of watermark information.
  • Image preprocessing involves Haar wavelet transform and Bloom filter for pixel manipulation.
  • The scheme supports hierarchical and item-by-item watermark addition and traces the data flow chain.

Main Results:

  • MIWC demonstrates successful multi-level watermark embedding, a capability lacking in current schemes.
  • The scheme is reversible, efficient, and lightweight, even with multiple watermark layers.
  • High robustness against geometric attacks (rotation, scaling) and common image attacks (compression, noise) was confirmed.

Conclusions:

  • MIWC offers a practical solution for multi-level data traceability through its unique watermarking approach.
  • The scheme provides a secure, efficient, and robust method for embedding multiple watermarks in images.
  • MIWC holds significant practical application value in data security and integrity verification.