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Improving various reversible data hiding schemes via optimal codes for binary covers.

Weiming Zhang1, Biao Chen, Nenghai Yu

  • 1School of Information Science and Technology, University of Science and Technology of China, Hefei, China. zwmshu@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 21, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces generalized binary codes for reversible data hiding (RDH) that achieve the rate-distortion bound. These codes significantly reduce embedding distortion in various data hiding schemes.

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Area of Science:

  • Information Security
  • Computer Science
  • Digital Forensics

Background:

  • Reversible data hiding (RDH) allows lossless restoration of cover data after information extraction.
  • Kalker and Willems established a rate-distortion model and recursive code construction for RDH.
  • Previous work improved recursive constructions to approach the rate-distortion bound.

Purpose of the Study:

  • To generalize a previous improved recursive construction for RDH.
  • To prove that generalized codes using decompression algorithms can reach the rate-distortion bound.
  • To improve existing RDH schemes by reducing embedding distortion.

Main Methods:

  • Generalizing a previous recursive construction using decompression algorithms as coding schemes.
  • Proving that generalized codes reach the rate-distortion bound if the compression algorithm reaches entropy.
  • Applying the proposed binary codes to improve RS, JPEG, and pattern substitution RDH schemes.
  • Modifying histogram shift (HS) to apply the coding method to HS-based schemes.

Main Results:

  • The generalized codes achieve the rate-distortion bound when the compression algorithm reaches entropy.
  • Three RDH schemes (RS, JPEG, pattern substitution) using binary feature sequences showed significant reduction in embedding distortion.
  • The proposed coding method was successfully applied to an HS-based scheme, improving integer-operation-based schemes.

Conclusions:

  • The generalized binary codes offer a method to approach the rate-distortion bound in RDH.
  • The novel codes significantly reduce embedding distortion in various RDH applications.
  • The proposed coding strategy is versatile and can improve both binary feature sequence and HS-based RDH schemes.