The Transactions of the Korea Information Processing Society (한국정보처리학회논문지)

Korea Information Processing Society (한국정보처리학회)
권호 표지

A Watermarking Technique Using Means and Differences of Neighboring Wavelet Transform Coefficient Pairs

이웃한 웨이브릿 변환 계수 쌍의 평균과 차이를 이용한 워터마킹 기법

  • Kim, Hyeon-Sun (Dept.of Electronics Engineering, Graduate School of Kyungpook National University) ;
  • Bae, Seong-Ho ;
  • Park, Gil-Heum (School of Electronic & Electrical Engineering, Kyungpook National University)
  • 김현순 (경북대학교 대학원 전자공학과) ;
  • 배성호 (동명정보대학교 멀티미디어공학과) ;
  • 박길흠 (경북대학교 전자전기공학부)
  • Published : 2000.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, an efficient watermarking technique in wavelet transform domain is proposed. Watermarking is embedding a digital signal called as 'watermark' into images to claim the ownership. In the proposed method, the image is 1-level wavelet transformed, and then the watermark with a binary stamp is embedded into the baseband. The watermark is embedded by inverting the polarities of he selected coefficient paris. In the inverting process, we can increase image quality by finding means and differences of the selected neighboring coefficient paris, and then adding values, which are inversely proportional to the differences, to th means. The experimental results show that the proposed method has good quality and is robust to various attacks such as the JPEG lossy comparison, noise addition, clipping, blurring, etc.

Keywords

References

  1. I. J. Cox, 'Secure spread spectrum watermarking for multimedia,' NEC Research Institute, Technical Report 95-10. 1995
  2. O. Bruyndonckx, J. J, Quisquater, and B. Macq, 'Spatial method for copyright labeling of digital images,' in Proc, IEEE Nonlinear Signal and Image Processing, pp.456-459, June 1995
  3. P. W. Wong, ' A watermark for image integrity and ownership verification,' in Pro. IS&T PIC Conference, May 1998
  4. W. Bender. D Gruhl, and N, Morimoto, 'Techniques for data hiding,' in Proc. SPIE, Vol.2420. p 40, Feb. 1995
  5. I Pitas and T. H. Kaskalis, 'Signature casting on digital images,' in Proc. IEEE Workshop on Nonlinear Signal and Image Processing, 1995
  6. Ingemar J Cox. Joe Kilhan, F, Thomson Leighton, and Talal Shamoon, 'Secure spread spectrum watermarking for multimedia,' IEEE Trans. Image Processing, Vol.6, No.12, pp.1673-1687, Dec. 1997 https://doi.org/10.1109/83.650120
  7. E. Koch and J Zhao, 'Towards robust and hidden image copyright labeling,' Nonlinear Signal Processing Workshop, pp.460-463, 1995
  8. Mitchell D. Swanson, Bin Zhu. and Ahumed. H. Tewfik, 'Transparent robust image watermarking,' Proc. IEEE International Conference on Image Processing, pp.211-214. 1996 https://doi.org/10.1109/ICIP.1996.560421
  9. Deepa Kundur and Dirmitrios Hatzinakos, 'Digital watermarking using multiresolution wavelet decomposition.' Proc IEEE International Conference on Acoustics. Speech, and Signal Processing, Vol.5, May, 1998 https://doi.org/10.1109/ICASSP.1998.678149
  10. Chiou-Ting Hsu and .Ia-Ling Wu, 'Multiresolution watermarking for digital images,' IEEE Trans. Circuits Syst II, Vol.45, No.8, pp.1097-1101, Aug. 1998 https://doi.org/10.1109/82.718818
  11. Chiou-Ting Hsu and Ia-Ling Wu, 'Hidden digital watermarks in Images,' IEEE Trans. Image Processing, Vol.8, No 1, pp.58-68, Jan. 1999 https://doi.org/10.1109/83.736686
  12. D Sklar, Digital Communications. Englewood Cliffs. NJ : Prentice-Hall. 1988