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Open Access Publications from the University of California

Robust Data Hiding in Multimedia for Authentication and Ownership Protection

  • Author(s): Alenizi, Farhan A.
  • Advisor(s): Kurdahi, Fadi
  • et al.
Creative Commons Attribution 4.0 International Public License

Establishing robust and blind data hiding techniques in multimedia is very important

for authentication, ownership protection and security. The multimedia being used

may include images, videos and 3D mesh objects.

A hybrid pyramid Discrete-Wavelet-Transform (DWT) Singular-Value-Decomposition

(SVD) data hiding scheme for video authentication and ownership protection is proposed.

The data being hidden will be in the shape of a main color logo image watermark

and another secondary Black and White (B&W) logo image. The color

watermark will be decomposed to Bit-Slices. A pyramid transform is performed on

the Y-frames of a video stream resulting in error images; then, a Discrete Wavelet

Transform (DWT) process is implemented using orthonormal lter banks on these

error images, and the Bit-Slices watermarks are inserted in one or more of the resulting

subbands in a way that is fully controlled by the owner; then, the watermarked

video is reconstructed. SVD will be performed on the color watermark Bit-Slices.

A secondary B&W watermark will be inserted in the main color watermark using

another SVD process. The reconstruction was perfect without attacks, while the average

Bit-Error-Rates (BER's) achieved under attacks are in the limits of 2% for the

color watermark and 5% for the secondary watermark; meanwhile, the mean Peak

Signal-to-Noise Ratio (PSNR) is 57 dB. Furthermore, a selective denoising lter to

eliminate the noise in video frames is proposed; and the performance with data hiding

is evaluated.

Moreover, a 3D mesh blind optimized watermarking technique is proposed in this

research. The technique relies on the displacement process of the vertices locations

depending on the modication of the variances of the vertices's norms. Statistical

analysis were performed to establish the proper distributions that best t each mesh,

and hence establishing the bins sizes. Experimental results showed that the approach

is robust in terms of both the perceptual and the quantitative qualities.

In conclusion, the degree of robustness and security of the proposed techniques are

shown. Also the schemes that can be adopted to further enhance the performance,

and the future work that can be done in the eld are introduced.

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