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Related Experiment Video

Updated: Oct 6, 2025

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
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Reversible Information of Encrypted Image Based on Feature Difference Detection and Wavelet Transform.

Yongsheng Ding1, Yunbo Wei1, Shuisheng Zhang1

  • 1School of Science, Qiqihar University, Qiqihar, Heilongjiang 161006, China.

Contrast Media & Molecular Imaging
|January 13, 2022
PubMed
Summary
This summary is machine-generated.

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This study introduces a novel lossless digital image watermarking algorithm using fractional wavelet transform for high-capacity reversible information hiding. The method enhances embedding capacity and reduces distortion, proving effective for covert communication in encrypted images.

Area of Science:

  • Digital image processing
  • Information security
  • Wavelet transforms

Background:

  • Existing frequency-domain lossless watermarking algorithms face limitations in reversibility and embedding capacity.
  • There is a need for advanced techniques to achieve high-capacity reversible information hiding in digital images.

Purpose of the Study:

  • To propose a lossless digital image watermarking algorithm based on fractional wavelet transform.
  • To improve embedding capacity and reversibility for image information hiding.
  • To enable secure covert communication using encrypted images.

Main Methods:

  • Utilizing LeGall5/3 fractional wavelet transform for image transformation.
  • Embedding watermarks in the high-frequency subband via histogram shifting.

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  • Developing novel methods for selecting embedding and stopping parameters to maximize capacity and minimize distortion.
  • Proposing a new position map generation method to prevent overflow and reduce auxiliary data.

    • Main Results:

    • The proposed algorithm achieves multilayer embedding with significant capacity.
    • Experimental results on the Lena test image demonstrate a capacity of 2.7 bits per pixel (bpp).
    • The method effectively reduces image distortion while maintaining high embedding capacity.

    Conclusions:

    • Fractional wavelet transform is a suitable technique for developing high-capacity, reversible lossless watermarking.
    • The proposed algorithm offers a robust solution for covert communication in encrypted images.
    • The method addresses the limitations of existing frequency-domain watermarking techniques.