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A batch copyright scheme for digital image based on deep neural network.

Hao Yu Lu1, Dao Fu Gong1, Fen Lin Liu1

  • 1Zhengzhou Science and Technology Institute, Zhengzhou, 450001, China.

Mathematical Biosciences and Engineering : MBE
|September 11, 2019
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Summary
This summary is machine-generated.

This study introduces a novel neural network method for image copyright protection. The technique embeds copyright information without altering images, offering robust and imperceptible protection for multiple image verification.

Keywords:
copyright protectiondeep neural networkdigital imagedigital watermarkingerobust feature extraction

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Area of Science:

  • Computer Science
  • Information Security
  • Artificial Intelligence

Background:

  • Digital signatures and watermarking are established image copyright protection methods.
  • These techniques have limitations: digital signatures cannot carry information, and watermarking causes fidelity loss.

Purpose of the Study:

  • To propose a neural network-based scheme for robust and imperceptible image copyright protection.
  • To enable copyright message extraction from registered images without modification.
  • To address the limitations of existing copyright protection methods.

Main Methods:

  • A neural network-based scheme for batch image copyright protection.
  • Leveraging the neural network's pattern extraction and error tolerance capabilities.
  • Developing a method for copyright message bitstream extraction.

Main Results:

  • The proposed scheme achieves perfect imperceptibility of copyright information.
  • Demonstrates superior robustness in copyright verification.
  • Effectively verifies copyright for multiple images due to network's data diversity preference.

Conclusions:

  • The neural network-based approach offers an effective solution for image copyright protection.
  • The method overcomes the fidelity loss and information carrying capacity issues of traditional techniques.
  • The scheme provides a robust, imperceptible, and scalable solution for digital image copyright management.