Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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A Low Frequency Band Watermarking with Weighted Correction in the Combined Cosine and Wavelet Transform Domain

  • Received : 2012.10.06
  • Accepted : 2013.01.31
  • Published : 2013.01.30
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Abstract

A combined DWT and DCT based watermarking technique of low frequency watermarking with weighted correction is proposed. The DWT has excellent spatial localization, frequency spread and multi-resolution characteristics, which are similar to the theoretical models of the human visual system (HVS). The DCT based watermarking techniques offer compression while DWT based watermarking techniques offer scalability. These desirable properties are used in this combined watermarking technique. In the proposed method watermark bits are embedded in the low frequency band of each DCT block of selected DWT sub-band. The weighted correction is also used to improve the imperceptibility. The extracting procedure reverses the embedding operations without the reference of the original image. Compared with the similar approach by DCT based approach and DWT based approach, the experimental results show that the proposed algorithm apparently preserves superiori mage quality and robustness under various attacks such as JPEG compression, cropping, sharping, contrast adjustments and so on.

Keywords

References

  1. Ming-Shing Hsieh, "Perceptual Copyright Protection using multiresolution Wavelet Based Watermarking and Fuzzy Logic," International Journal of Artificial Intelligence & Applications (IJAIA), Vol.1, No.3, July 2010.
  2. N.Nikolaidis and LPitas, "Robust image watermarking in the spatial domain," Signal Processing Vol.66, pp.385-403, 1998. https://doi.org/10.1016/S0165-1684(98)00017-6
  3. D. P. Mukherjee, S. Maitra, S.T. Acton. Spatial domain digital watermarking of multimedia objects for buyer authentication. IEEE Transactions on Multimedia,2004(6): 1-15.
  4. Chiou-Ting Hsu and Ja-Ling Wu, "Multiresolution Watermarking for Digital Images," IEEE Trans. Circuits and System n, Vol. 45, No. 8, pp. 1097-1101, August 1998. https://doi.org/10.1109/82.718818
  5. Wai C. Chu, "DCT-Based ImageWatermarking Using Subsampling," IEEE Transaction on Multimedia, Vol. 5, No. 1, March 2003.
  6. Wolfgang, R., C. Podilchuk and E. Delp,"Perceptual Watermarks for Digital Images and Video," Proc. of the IEEE, vol. 87, no. 7,pp: 1108-1126.
  7. Navas K A, Ajay Mathews Cheriyan,Lekshmi.M, Archana Tampy.S, Sasikumar M"DWT-DCT-SVDBased Watermarking "3rd International Conference on Communication Systems Software and Middleware and Workshops, 2008. COMSW ARE2008.
  8. Ali AI-Haj, "Combined DWT-DCT Digital Image Watermarking," Journal of Computer Science 3 (9): 740-746, 2007. https://doi.org/10.3844/jcssp.2007.740.746
  9. Shinfeng D. Lin, Chin-Feng Chen, A robust DCT-based watermarking for copyright protection, IEEE Trans. Consumer Electron. 2000, 46(3): 415-421. https://doi.org/10.1109/30.883387
  10. http://mathworld.woffram.com/ArnoldsCatMap.html.
  11. ZHAO Rui-mei, LIAN Hua, PANG Hua-wei, HU Bo-ning, "A Watermarking Algorithm by Modifying AC Coefficies in DCT Domain," 2008 International Symposium on Information Science and Engineering.
  12. Ruisong Ye and Leyi Zhuang, "Baker Map's Itinerary Based Image Scrambling Method and Its Watermarking Application in DWT Domain," I.J. Image, Graphics and Signal Processing, 2012, 1, 12-20.