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Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC

License: Apache License 2.0

MATLAB 100.00%
watermark-image matlab dwt svd hessenberg-decomposition singular-value-decomposition discrete-wavelet-transformation psnr structural-similarity normalized-correlation

digital-image-watermarking's Introduction

Digital-Image-Watermarking

Digital Image Watermarking method based on hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC

View Digital-Image-Watermarking on File Exchange

About

Watermarking is identified as a major means to achieve copyright protection. It is technology of information hiding which is used to hide dedicated data in digital media like images, musics, videos etc. The main goal of this project is to provide basic watermark toolbox for researchers to evaluate watermarking methods under various attacks.

The simulation is based on the IEEE Access journal, An Optimized Image Watermarking Method Based on HD and SVD in DWT Domain. The following methods are used:

  • Discrete Wavelet Transformation (DWT)
  • Hessenberg Decomposition (HD)
  • Singular Value decomposition (SVD)

First, in the embedding process, the host image is modified to embed watermark image. Different attacks are applied to evaluate the robustness and invisibility of the proposed method by considering peak signal-to-noise ratio (PSNR), and structural similarity (SSIM). Finally, the watermark image is extracted, and the robustness is evaluated considering normalized correlation (NC).

Attacks

The following attacks are considred:

Attack Specification
Filter attack Median filter (3 × 3)
Gaussian Low-pass filter (3 × 3)
Average filter (3 × 3)
Noise attack Gaussian noise ( var = 0.001)
Salt & peppers noise (0.001)
Speckle noise (0.001)
Compression attack JPEG compression (QF=50)
JPEG2000 compression (CR=12)
Histogram equalization (HE) HE attack
Motion Blur attack Motion blur (theta = 4, Len = 7)
Sharpening attack Sharpening (strength = 0.8)
Rotation attack Rotation (2 degree)

Getting started

  • In order to make the copy of the repo, please fork it; otherwise simply Clone or Download it to your local device.
  • Run main.m file in MATLAB. It is recommended to run it section by section; otherwise you would need to wait whole code to run.
  • The initial sections merely, run code to illustrate the proposed watermarking method.
  • The mid sections, plots NC, PSNR, SSIM values for each alpha (Fig. 5, 6 and 7 paper).
  • Last sections, evaluates the invisibility and robustness of the watermarked image and extracted watermark logo, for different watermark image size under various attacks (fig. 8, 9, and 10 paper).
  • Finally, the NC value of different attack parameters are evaluated for each attack (fig. 11 paper).

Support

If you find this repository helpful, please star and fork it to support me.

Contribution

Contributions are always welcome!

  1. Fork the repository.
  2. Apply your edits on your fork.
  3. If you are going to add a new method, please use same syntax and structure.
  4. Commit the changes to your forked repository.
  5. Submit a pull request adding details about your modification.

Thanks for your suggestions!

Contact

For questions, please open a new issue in the issues list.

Reference

J. Liu et al., "An Optimized Image Watermarking Method Based on HD and SVD in DWT Domain," in IEEE Access, vol. 7, pp. 80849-80860, 2019. Cite

License

This project is distributed under Apache License 2.0

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digital-image-watermarking's Issues

optimization

Where in the code have you used fruitfly algorithm for optimization of the embedding factor alpha ?

Literature report

Can u provide me with thesis or literature report for learning process so that I can understand the methods properly?

FOA optimization

Did the project implement a fruit fly optimization algorithm?

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