A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition

@article{Arya2011AHS,
  title={A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition},
  author={Meenakshi S. Arya and Rajesh Siddavatam and Satya Prakash Ghrera},
  journal={2011 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY},
  year={2011},
  pages={1-6}
}
The lifting wavelet transform (LWT) is a recent approach to wavelet transform and singular value decomposition (SVD) is a valuable transform technique for robust digital watermarking. While LWT allows generating an infinite number of discrete biorthogonal wavelets starting from an initial one, singular values (SV) allow us to make changes in an image without affecting the image quality much. This paper presents an approach which tries to amalgamate the features of these two transforms to… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 19 references

A Geometric Distortion Resilient image Watermarking Algorithm Based on SVD

  • B. Zhou, J. Chen
  • Chinese Journal of Image and Graphics, Vol. 9…
  • 2004
1 Excerpt

A Critique of SVD - Based Image Coding Systems

  • L. J. Popyack V. I. Gorodetski, V. Samoilov, V. A. Skormin
  • IEEE International Symposium on circuits and…
  • 1999

Similar Papers

Loading similar papers…