High Capacity Data Hiding for Binary Image Authentication

  • Authors:
  • Meng Guo;Hongbin Zhang

  • Affiliations:
  • -;-

  • Venue:
  • ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
  • Year:
  • 2010

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Abstract

This paper proposes a novel data hiding scheme with high capacity for binary images, including document images, halftone images, scanned figures, text and signatures. In our scheme, the embedding efficiency and the placement of embedding changes are considered simultaneously. Given an M脳N image block, the upper bound of the amount of bits that can be embedded of the scheme is nlog2((M脳N)/n + 1) by changing at most n pixels. Experimental results show that the proposed scheme can embed more data, meanwhile maintain a better quality, and have wider applications than existing schemes.