
pmid: 15700530
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.
Patents as Topic, Image Interpretation, Computer-Assisted, Computer Graphics, Reproducibility of Results, Signal Processing, Computer-Assisted, Product Labeling, Data Compression, Sensitivity and Specificity, Algorithms, Computer Security, Pattern Recognition, Automated
Patents as Topic, Image Interpretation, Computer-Assisted, Computer Graphics, Reproducibility of Results, Signal Processing, Computer-Assisted, Product Labeling, Data Compression, Sensitivity and Specificity, Algorithms, Computer Security, Pattern Recognition, Automated
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