Prediction-error of Prediction Error (PPE)-based Reversible Data Hiding
Han-Zhou Wu, Hong-Xia Wang, Yun-Qing Shi

TL;DR
This paper introduces a reversible data hiding method using prediction-error of prediction error (PPE) in gray images, leveraging prediction and sorting techniques to improve payload-distortion performance over existing methods.
Contribution
The novel PPE-based RDH algorithm combines prediction, sorting, and histogram shifting to enhance data embedding efficiency and image quality.
Findings
Outperforms state-of-the-art RDH methods in payload-distortion metrics.
Utilizes PPE and local complexity sorting to optimize data embedding.
Achieves higher embedding capacity with minimal distortion.
Abstract
This paper presents a novel reversible data hiding (RDH) algorithm for gray-scaled images, in which the prediction-error of prediction error (PPE) of a pixel is used to carry the secret data. In the proposed method, the pixels to be embedded are firstly predicted with their neighboring pixels to obtain the corresponding prediction errors (PEs). Then, by exploiting the PEs of the neighboring pixels, the prediction of the PEs of the pixels can be determined. And, a sorting technique based on the local complexity of a pixel is used to collect the PPEs to generate an ordered PPE sequence so that, smaller PPEs will be processed first for data embedding. By reversibly shifting the PPE histogram (PPEH) with optimized parameters, the pixels corresponding to the altered PPEH bins can be finally modified to carry the secret data. Experimental results have implied that the proposed method can…
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Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Digital Media Forensic Detection · Chaos-based Image/Signal Encryption
