Adaptive 3D Reversible Data Hiding Technique Based on the Cumulative Peak Bins in the Histogram of Directional Prediction Error

Issa, G, Anbar, Mohammed, Kasasbeh, Dima, Alabsi, Basim Ahmad and Rihan, Shaza Dawood Ahmed (2023) Adaptive 3D Reversible Data Hiding Technique Based on the Cumulative Peak Bins in the Histogram of Directional Prediction Error. Electronics, 12 (15). p. 3245. ISSN 2079-9292

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Abstract

Reversible data hiding (RDH) is crucial in modern data security, ensuring confidentiality and tamper-proofness in various industries like copyright protection, medical imaging, and digital forensics. As technology advances, RDH techniques become essential, but the trade-off between embedding capacity and visual quality must be heeded. In this paper, the relative correlation between the pixel’s local complexity and its directional prediction error is employed to enhance an efficient RDH without using a location map. An embedding process based on multiple cumulative peak region localization (MCPRL) is proposed to hide information in the 3D-directional prediction error histogram with a lower local complexity value and avoid the underflow/overflow problems. The carrier image is divided into three color channels, and then each channel is split into two non-overlapping sets: blank and shadow. Two half-directional prediction errors (the blank set and the shadow set) are constructed to generate a full-directional prediction error for each color channel belonging to the host image. The local complexity value and directional prediction error are critical metrics in the proposed embedding process to improve security and robustness. By utilizing these metrics to construct a 3D stego-Blank Set, the 3D stego-shadow Set will be subsequently constructed using the 3D blank set. The proposed technique outperforms other state-of-the-art techniques in terms of embedding capacity, image quality, and robustness against attacks without an extra location map. The experimental results illustrate the effectiveness of the proposed method for various 3D RDH techniques.

Affiliation: Skyline University College
SUC Author(s): Issa, G
All Author(s): Issa, G, Anbar, Mohammed, Kasasbeh, Dima, Alabsi, Basim Ahmad and Rihan, Shaza Dawood Ahmed
Item Type: Article
Uncontrolled Keywords: prediction error histogram; cumulative peak histogram localization; directionally enclosed prediction; local complexity; image steganography
Subjects: B Information Technology > BD Big Data Analitics
B Information Technology > BT Data Management
Divisions: Skyline University College > School of IT
Depositing User: Mr Mosys Team
Date Deposited: 25 Dec 2023 13:29
Last Modified: 25 Dec 2023 13:29
URI: https://research.skylineuniversity.ac.ae/id/eprint/744
Publisher URL: https://doi.org/10.3390/electronics12153245
Publisher OA policy: https://v2.sherpa.ac.uk/id/publication/22270
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