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Lossless generalized-LSB data embedding
Celik, M.U.; Sharma, G.; Tekalp, A.M.; Saber, E.;
Image Processing, IEEE Transactions on
Volume 14,
Issue 2,
Feb. 2005
Page(s):253
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266
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.
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