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Robust image watermarking based on multiband wavelets and empirical mode decomposition.

Ning Bi1, Qiyu Sun, Daren Huang

  • 1Department of Scientific Computing and Computer Applications, Guangdong Key Laboratory of Information Security Technology, Sun Yat-Sen University, Guangzhou 510275, China. mcsbn@mail.sysu.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 11, 2007
PubMed
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This study introduces a novel blind image watermarking technique using multiband wavelet transform and empirical mode decomposition. The method embeds watermarks in middle-frequency subimages, enhancing robustness and imperceptibility against various attacks.

Area of Science:

  • Digital Image Processing
  • Information Security
  • Signal Processing

Background:

  • Traditional watermarking often embeds data directly onto wavelet coefficients, impacting image quality and robustness.
  • Existing methods face challenges in balancing imperceptibility and resilience against diverse signal processing and compression attacks.

Purpose of the Study:

  • To develop a robust and perceptually invisible blind image watermarking algorithm.
  • To improve watermark resilience against common image processing attacks and compression.
  • To outperform existing watermarking schemes in terms of performance metrics.

Main Methods:

  • Utilizing multiband wavelet transform (MWT) and empirical mode decomposition (EMD) for watermark embedding.
  • Embedding watermark bits within the mean trend of middle-frequency subimages in the wavelet domain.

Related Experiment Videos

  • Optimizing MWT parameters (dilation factor, filters) for enhanced performance.

    • Main Results:

    • The proposed blind watermarking scheme demonstrates robustness against JPEG compression, Gaussian noise, salt and pepper noise, median filtering, and ConvFilter attacks.
    • Experimental results confirm superior performance compared to recently reported watermarking schemes.
    • The algorithm achieves a favorable balance between perceptual invisibility and watermark robustness.

    Conclusions:

    • The proposed multiband wavelet transform and EMD-based blind watermarking algorithm offers a significant advancement in digital image protection.
    • The embedding strategy in the mean trend of subimages proves effective for robust and imperceptible watermarking.
    • This approach provides a promising solution for secure and reliable image data hiding.