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Related Concept Videos

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3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
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Published on: May 12, 2019

Reference sharing mechanism for watermark self-embedding.

Xinpeng Zhang1, Shuozhong Wang, Zhenxing Qian

  • 1School of Communication and Information Engineering, Shanghai University, Shanghai, China. xzhang@shu.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 19, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces two novel self-embedding watermarking schemes using reference sharing for robust data recovery. These methods effectively restore original content from tampered areas, improving data integrity in digital images.

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Scalable Stamp Printing and Fabrication of Hemiwicking Surfaces
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Area of Science:

  • Computer Science
  • Digital Image Processing
  • Information Security

Background:

  • Digital watermarking is crucial for data integrity and authentication.
  • Existing methods face challenges in robust content restoration after tampering.
  • Self-embedding watermarking offers potential for data recovery but requires efficient mechanisms.

Purpose of the Study:

  • To propose two novel self-embedding watermarking schemes.
  • To enhance content restoration capabilities using a reference sharing mechanism.
  • To improve the resilience of digital watermarks against tampering.

Main Methods:

  • Developed two self-embedding watermarking schemes based on reference sharing.
  • Implemented a mechanism for deriving and sharing content references across image regions.
  • Utilized identified tampered blocks and reserved original content for restoration.
  • Applied a multi-level decomposition approach in the second scheme for hierarchical data protection.

Main Results:

  • The first scheme enables recovery of original data from the five most significant bit layers.
  • The first scheme allows retrieval of the original watermarked image with limited content replacement.
  • The second scheme demonstrates improved content recovery with lower tampering rates.
  • The second scheme achieves better restoration quality by protecting data at multiple decomposition levels.

Conclusions:

  • The proposed reference sharing mechanism significantly improves self-embedding watermarking robustness.
  • Both schemes offer effective solutions for content restoration in tampered digital images.
  • The multi-level approach in the second scheme provides adaptable protection based on tampering severity.