A Study on Blind Watermarking Technique of Digital Image using 2-Dimensional Empirical Mode Decomposition in Wavelet Domain

웨이블릿 평면에서의 2D-EMD를 이용한 디지털 영상의 블라인드 워터마킹 기술에 관한 연구

  • 이영석 (청운대학교 디지털방송공학과) ;
  • 김종원 (상명대학교 저작권보호학과)
  • Received : 2009.12.15
  • Accepted : 2010.03.02
  • Published : 2010.04.30

Abstract

In this paper a blind watermarking algorithm for digital image is presented. The proposed method operates in wavelet domain. The watermark is decomposed into 2D-IMFs using BEMD which is the 2-dimensional extension of 1 dimensional empirical mode decomposition. The CDMA based on SS technique is applied to watermark embedding and detection process. In the watermark embedding process, each IMF of watermark is embedded into middle frequency subimages in wavelet domain, so subimages just include partial information about embedded watermark. By characteristics of BEMD, when the partial information of watermark is synthesized, the original watermark is reconstructed. The experimental results show that the proposed watermarking algorithm is imperceptible and moreover is robust against JPEG compression, common image processing distortions.

본 연구에서는 디지털 영상의 블라인드 워터마킹 알고리즘을 제안하였다. 제안한 알고리즘은 웨이블릿 평면에서 처리되는 변환 평면 워터마킹 알고리즘으로서 2차원 EMD을 이용하여 분해된 워터마크의 EMF 성분들이 웨이블릿 대역에 삽입되어, 각 웨이블릿 대역은 워터마크의 일부 정보만을 포함하고 있는 것을 특징으로 하고 있다. 워터마크의 추출은 각 웨이블릿 대역에서 추출한 워터마크의 일부 정보들을 2차원 EMD의 선형적인 특징에 의해 산술적 또는 논리적 연산을 통하여 회복할 수 있도록 하였다. 개발한 워터마킹 알고리즘은 비가시성, 강인성 등 워터마킹 알고리즘에서 요구되는 조건들에 대한 실험을 수행하여 성능을 비교 분석하였다.

Keywords

References

  1. Jalil Taghia, Mohammad Ali Doostari, and Jalal Taghia, "An Image Watermarking Method Based on Bidimensional Empirical Mode Decomposition," Image and Signal Processing, 2008, pp. 674-678, May 2008.
  2. D. Taskovski, S. Bogdanova, and M. Bogdanov, "Digital watermarking in wavelet domain,"(Available at http://www.rcada.ncu.edu.tw/reference010.pdf).
  3. Chirawat Temi, Somsak Choomchuay, and Attasit Lasakul "A robust image watermarking using multiresolution analysis of Wavelet," ISCIT 2005, IEEE international Symposium on, Volume 1, pp.623-626, Oct. 2005.
  4. Santi P. Mairy and Malay K. Kundu, "A blind CDMA image watermarking scheme in wavelet domain,"International Conference Vol. 4, pp. 2633- 2636, Oct. 2004.
  5. Norden E. Huang and Zhaohua Wu, "A Review on Hilbert-Huang transform: method and its Applications to Geophysical Studies," American Geophysical Union, June 2008.
  6. J. C. Nunes, Y.Bouaoune, E. Delechelle, O.Niang, and Ph. Bunel, "Image analysis by bidimensional empirical mode decomposition," Image and Vision Computing, pp. 1019-1026, Nov. 2003.
  7. Sharif M. A. Bhuiyan, Reza R. Adhami, and Jesmin F. Khan, "Fast and Adaptive Bidimensional Empirical Mode Decomposition Using Order-Statistics Filter Based Envelope Estimation," EURASIP Journal on Advances in Signal Processing, Vol. 2008, pp.1-18, February 2008.
  8. Xiangui kang, Wenjun Zeng, and Jiwu Huang, "A multi-band wavelet watermarking Scheme," Int'l Journal of Network Security, Vol. 6, No. 2, pp. 121-126, Mar. 2008.
  9. Ning Bi, Qiyu Sun, Daren Huang, Zhihua Yang, and Jiwu Huang , "Robust Image Watermarking Based on Multiband Wavelets and EMD," IEEE Trans. on Image Processing, pp. 1956-1966, Aug. 2007.
  10. Santi P. Maity, Malay K. Kundu, and Seda Maity, "Dual purpose FWT domain spread spectrum image watermarking in real time," Computers & Electrical Engineering, Vol. 35, Issue 2, pp. 415-433, March 2009. https://doi.org/10.1016/j.compeleceng.2008.06.003
  11. S.A.M. Gilani and A.N. Skodras, "Watermarking by multiresolution Hadamard transform," (Available at http: //www.upatras.gr/ieee/skodras/pubs/ans-c39.pdf).
  12. Chin-Feng Lee, Chin-Chen Chang, and Kuo-Hua Wang, "An improvement of EMD embedding method for large pay loads by pixel segmentation strategy," Image and Vision Computing, Vol. 26, Issue 12, pp. 1670-1676, December 2008. https://doi.org/10.1016/j.imavis.2008.05.005