Special Issue Article Open Access

Reversible Data Hiding Based On Faster Numerical Methods

Abstract

In implement prediction-based reversible steganographic scheme based on image in painting. In this scheme the reference pixels are adaptively selected according to the distribution characteristics of the content of the image. Image in painting based on partial differential equations is used to complete the prediction process by the reference pixels. The histogram prediction error is shifted to embed the secret bits reversibly. During the extraction procedure, the same reference pixel can be exploited to conduct the prediction, which guarantees the lossless recovery of the cover image.

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