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Lossless generalized-LSB data embedding

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4 Author(s)
Celik, M.U. ; Electr. & Comput. Eng. Dept., Univ. of Rochester, NY, USA ; Sharma, G. ; Tekalp, A.M. ; Saber, E.

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.

Published in:

Image Processing, IEEE Transactions on  (Volume:14 ,  Issue: 2 )