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October 10, 2025SensorsOpen Access

Content-Adaptive Reversible Data Hiding with Multi-Stage Prediction Schemes

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Authors

HHHsiang-Cheh HuangFCFeng-Cheng ChangHLHongyi Li

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Overview

This research demonstrates improved embedding capacity and visual fidelity in images, indicating suitable applications for IoT devices.

Key Points

  • Improved embedding performance supports high visual fidelity in images used in IoT applications.
  • Results indicate a trade-off between embedding capacity and image quality, crucial for secure data communication.
  • Subsampling and quadtree partitioning enhance data hiding by adapting to image characteristics effectively.
  • The method showcases low implementation complexity, making it viable for resource-constrained environments.

Cite This Study

Huang et al. (2025) studied this question.

synapsesocial.com/papers/68e8ed7aa1d181ff1b9480cfhttps://doi.org/10.3390/s25196228
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1APVCPC: An Adaptive Predicted Value Computation and Pixel Classification Framework for Reversible Data Hiding in Encrypted Images2026
  2. 2Adaptive XOR-based causal prediction for lightweight and fully reversible data hiding2026
  3. 3An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images2018 · 401 citations
  4. 4Reversible Data Hiding of Images Based on Plaintext Domains2026
  5. 5A Reversible Data-Hiding Method for Encrypted Images Based on Adaptive Quadtree Partitioning and MSB Prediction2024