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Dynamic histogram shifting (DHS) is a generation of the conventional histogram shifting (HS) technique for reversible image watermarking. Its superior embedding performance is achieved at the cost of significantly increased computational burden incurred by estimating the capacity parameters via multi-rounds of embedding iterations. In this work, we propose an analytical framework on estimating the...
In the existing prediction-error expansion (PEE)-based reversible image watermarking schemes, the capacity parameters are determined in a recursive manner by gradually turning these parameters to fit the payload. This class of method needs multiple rounds of embedding iterations, and hence, it is computationally inefficient. In addition, when multiple capacity parameters need to be handled, the previous...
In the existing prediction-error expansion (PEE)-based reversible image watermarking schemes, the capacity parameters are determined in a recursive manner until the payload is just accommodated. This class of methods requires many rounds of embedding iterations, especially when the payload is high, and therefore, is computationally inefficient. Moreover, when multiple capacity parameters need to be...
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