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Related Experiment Video

Updated: Oct 20, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

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Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection.

Hongyan Xu1

  • 1Department of Academic Research, Harbin Normal University, Harbin 150025, Heilongjiang, China.

Mathematical Biosciences and Engineering : MBE
|September 14, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel zero watermark copyright protection algorithm for digital media, utilizing embedded intelligent edge computing detection. The developed algorithm demonstrates superior robustness and high image quality, making it ideal for safeguarding digital content.

Keywords:
algorithm robustnesscopyright protectiondigital mediaembedded intelligent edge detectionzero watermarking algorithm

Related Experiment Videos

Last Updated: Oct 20, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

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Area of Science:

  • Computer Science
  • Digital Image Processing
  • Copyright Law

Background:

  • The proliferation of digital media necessitates robust copyright protection mechanisms.
  • Existing digital media watermarking technologies often yield suboptimal results.
  • The focus is on enhancing copyright identification and protection for digital assets.

Purpose of the Study:

  • To develop and evaluate a zero watermark copyright protection algorithm for digital media.
  • To leverage embedded intelligent edge computing detection for enhanced security.
  • To assess the algorithm's robustness against various image attacks and its impact on image quality.

Main Methods:

  • Design of an embedded intelligent edge detection module incorporating Sobel operator, image line buffer, convolution calculation, and threshold processing.
  • Application of Arnold transform for image scrambling as a watermark preprocessing step.
  • Construction of the zero watermark copyright protection algorithm and subsequent robustness testing.

Main Results:

  • The algorithm achieved the highest detection rate of 0.89 among tested methods.
  • Demonstrated robustness against clipping, scaling, noise, sharpening, and blur attacks, with notable Signal-to-Noise Ratios (e.g., 36.854% in multiplicative noise).
  • Subjective and objective evaluations confirmed high watermark image quality, with mean values for SNR, PSNR, MSE, and MAD indicating superior performance.

Conclusions:

  • The proposed digital media zero watermark copyright protection algorithm, based on embedded intelligent edge computing detection, offers significant improvements in robustness.
  • The algorithm exhibits excellent watermark invisibility and high image quality, making it a valuable tool for digital copyright protection.
  • The findings suggest this algorithm is a promising solution for safeguarding digital media rights in the evolving technological landscape.