Distortionless data hiding based on integer wavelet transform

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Distortionless data hiding based on integer wavelet transform

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A novel distortionless image data hiding algorithm based on integer wavelet transform that can invert the stego-image into the original image without any distortion after the hidden data are extracted is proposed. This algorithm hides data into one (or more) middle bit-plane(s) of the integer wavelet transform coefficients in the middle and high frequency subbands. It can embed much more data compared with the existing distortionless data hiding techniques and satisfy the imperceptibility requirement. The image histogram modification is used to prevent greyscales from possible overflowing. Experimental results have demonstrated the validity of the algorithm.

Inspec keywords: data encapsulation; wavelet transforms; transform coding; image coding; feature extraction

Other keywords: integer wavelet transform; stego-image inversion; integer wavelet transform coefficients; high frequency subbands; middle frequency subbands; distortionless image data hiding algorithm; image histogram modification; invertible data hiding

Subjects: Integral transforms in numerical analysis; Integral transforms in numerical analysis; Image and video coding; Computer vision and image processing techniques; Data security

References

    1. 1)
      • Goljan, M., Fridrich, J., Du, R.: `Distortion-free data embedding', Proc. 4th Information Hiding Workshop, April 2001, Pittsburgh, PA, USA, p. 27–41.
    2. 2)
      • A.R. Calderbank , I. Daubechies , W. Sweldens , B. Yeo . Wavelet transforms that map integers to integers. Appl. Comput. Harmonic Anal. , 3 , 332 - 369
    3. 3)
      • I. Daubechies , W. Sweldens . Factoring wavelet transforms into lifting steps. J. Fourier Anal. Appl. , 247 - 269
    4. 4)
      • Y.Q. Shi , H. Sun . (1999) Image and video compression for multimedia engineering.
    5. 5)
      • Honsinger, C.W., Jones, P., Rabbani, M., Stoffel, J.C.: `Lossless recovery of an original image containing embedded data', US, Docket No: 77102/E-D, 1999.
    6. 6)
      • Macq, B., Deweyand, F.: `Trusted headers for medical images', DFG VIII-D II Watermarking Workshop, October 1999, Erlangen, Germany.
    7. 7)
      • Fridrich, J., Goljan, M., Du, R.: `Invertible authentication', Proc. SPIE, January 2001, San Jose, CA, USA, Security and Watermarking of Multimedia Contents, p. 197–208.
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