Reversible Data Hiding Using Integer Wavelet Transform and Companding Technique

نویسندگان

  • Guorong Xuan
  • Chengyun Yang
  • Yizhan Zhen
  • Yun Q. Shi
  • Zhicheng Ni
چکیده

This paper presents a novel reversible data-embedding method for digital images using integer wavelet transform and companding technique. This scheme takes advantage of the Laplacian-like distribution of integer wavelet coefficients in high frequency subbands, which facilitates the selection of compression and expansion functions and keeps the distortion small between the marked image and the original one. Experimental results show that this scheme outperforms the state-of-the-art reversible data hiding schemes.

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تاریخ انتشار 2004