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Lossless generalized-LSB data embedding
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DOI：10.1109/TIP.2004.840686.png)
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Abstract
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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.
Keywords:
arithmetic coding
conditional entropy coding
context modeling
data embedding
data hiding
least significant bit (LSB) modification
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