Lossless generalized-LSB data embedding

  • Authors:
  • M. U. Celik;G. Sharma;A. M. Tekalp;E. Saber

  • Affiliations:
  • Electr. & Comput. Eng. Dept., Univ. of Rochester, NY, USA;-;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2005

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Abstract

We present a novel lossless (reversible) data-embedding technique, which enables the exact recovery of the original host signal upon extraction of the embedded information. A generalization of the well-known least significant bit (LSB) modification is proposed as the data-embedding method, which introduces additional operating points on the capacity-distortion curve. Lossless recovery of the original is achieved by compressing portions of the signal that are susceptible to embedding distortion and transmitting these compressed descriptions as a part of the embedded payload. A prediction-based conditional entropy coder which utilizes unaltered portions of the host signal as side-information improves the compression efficiency and, thus, the lossless data-embedding capacity.