Steganography Enhanced Prediction Error Expansion: A Novel Reversible Data Hiding Framework

Research Overview

X. Li, X. Li, S. Hu and Y. Zhao, "Steganography-Enhanced Prediction-Error Expansion: A Novel Reversible Data Hiding Framework," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 3, pp. 2701-2711, March 2025, doi: 10.1109/TCSVT.2024.3495673.

File Structure

• main.m: The main function that orchestrates the complete reversible data hiding process. This script integrates all the necessary components to execute the embedding and extraction procedures seamlessly.
• embedding_example.m: An illustrative script that walks through the embedding process with predefined parameters. This example serves as a practical guide for users to understand how to utilize the framework effectively.
• Manner.m: Implements the proposed embedding algorithm for the first-layer embedding. This module is crucial for initiating the reversible data hiding process with precision.
• MEandReconsInfoGen.m: Responsible for generating the embedding sequence and reconstruction information. This script ensures that the necessary data for both embedding and subsequent extraction is accurately prepared.
• MHM2015.m: An optional embedding algorithm for the second-layer embedding. This module provides an alternative approach for users who wish to explore different embedding strategies.
• LocationMap.m: A utility tool for calculating the location map. This script aids in identifying the optimal positions for embedding data within the cover image.
• Arith07.m: Implements arithmetic coding, a key component for efficient data compression and embedding.
• stc_embed.mexw64: The STC embedding function optimized for Windows 64-bit systems. This precompiled function enhances the performance of the embedding process on compatible platforms.
• stc_extract.mexw64: The STC extraction function optimized for Windows 64-bit systems. This precompiled function ensures efficient data extraction while maintaining compatibility with the embedding process.

Getting Started

Prerequisites

To run the code in this repository, you will need:

• MATLAB installed on your system.
• Compatibility with Windows 64-bit for the precompiled STC functions.