Reversible Data Hiding with Optimal Value Transfer
Abstract of Reversible Data Hiding with Optimal Value Transfer
Reversible Data Hiding with Optimal Value Transfer.Data hiding technique aims to embed some secret information into a carrier signal by altering the insignificant components for copyright protection or covert communication.
In general cases, the data-hiding operation will result in distortion in the host signal.
However, such distortion, no matter how small it is, is unacceptable to some applications, e.g., military or medical images.
In this case it is imperative to embed the additional secret message with a reversible manner so that the original contents can be perfectly restored after extraction of the hidden data.A number of reversible data hiding techniques have been proposed, and they can be roughly classified into three types: lossless compression based methods, difference expansion (DE) methods, and histogram modification (HM) methods.
The lossless compression based methods make use of statistical redundancy of the host media by performing lossless compression in order to create a spare space to accommodate additional secret data.
Conclusion
In order to achieve a good payload-distortion performance of reversible data hiding, this work first finds the optimal value transfer matrix by maximizing a target function of pure payload with an iterative procedure, and then proposes a practical reversible data hiding scheme.
