Improved Differential Energy Watermarking for Embedding Watermark

  • Goo-Rak Kwon
  • Seung-Won Jung
  • Sang-Jae Nam
  • Sung-Jea Ko
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4283)


Digital watermarking is increasingly demanded for protecting or verifying the original image ownership. In this paper, we propose an improved differential energy watermarking using adaptive differential energy watermarking (ADEW) with cross binding wavelet tree (CBWT). The ADEW embeds a secret bit string which is obtained by the error correction code (ECC). Thus, the proposed method not only takes advantage of the ADEW’s error resilience but corrects a secret bit string by using ECC after error occurrence. Through experiments, we compare the proposed method with conventional DEW approaches and the proposed method shows the appropriateness for robust watermarking.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Langelaar, G.C., Setyanwn, I., Lagendijk, R.L.: Watermarking digital image and video data, a state-of-the-art overview. IEEE Signal Processing Mag., 20–46 (2000)Google Scholar
  2. 2.
    Special Issue on Digital Watermarking. IEEE Signal Process. Mag. 17 (2000)Google Scholar
  3. 3.
    Kaewkamnerd, N., Rao, K.R.: Wavelet based image adaptive watermarking scheme. Electron. Lett. 36, 312–313 (2000)CrossRefGoogle Scholar
  4. 4.
    Zeng, W., Liu, B.: A statistical watermark detection technique without using original images for resolving rightful ownerships of digital images. IEEE Trans. Image Processing 8, 1534–1548 (1999)CrossRefGoogle Scholar
  5. 5.
    Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Processing 6, 1673–1687 (1997)CrossRefGoogle Scholar
  6. 6.
    Langelaar, G.C., Langendijk, R.L.: Optimal differential energy watermarking of DCT encoded images and video. IEEE Journal on Selected Areas in Comm. 12, 525–539 (1998)Google Scholar
  7. 7.
    Wang, S.-H., Lin, Y.-P.: Wavelet tree quantization for copyright protection watermarking. IEEE Trans. Image Processing 13, 154–165 (2004)CrossRefGoogle Scholar
  8. 8.
    Said, A., Pearlman, W.A.: A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. Circuits Syst. Video Technol. 6, 243–250 (1996)CrossRefGoogle Scholar
  9. 9.
    Shapiro, J.M.: Embedded image coding using zerotrees of wavelet coefficients. IEEE Trans. Signal Processing 41, 3445–3462 (1993)zbMATHCrossRefGoogle Scholar
  10. 10.
    Wallace, G.K.: The JPEG still picture compression standard. Commun. ACM (1991)Google Scholar
  11. 11.
    Hamming, R.W.: Error detecting and error correcting codes. The Bell System Technical Journal 29, 147–160 (1950)MathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Goo-Rak Kwon
    • 1
  • Seung-Won Jung
    • 1
  • Sang-Jae Nam
    • 1
  • Sung-Jea Ko
    • 1
  1. 1.Department of Electronics EngineeringKorea UniversitySeoulKorea

Personalised recommendations