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Related Experiment Video

Updated: Oct 9, 2025

Quantifying Intermembrane Distances with Serial Image Dilations
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A Reversible Data Hiding Method in Encrypted Images for Controlling Trade-Off between Hiding Capacity and Compression

Ryota Motomura1, Shoko Imaizumi2, Hitoshi Kiya3

  • 1Graduate School of Science and Engineering, Chiba University, 1-33 Yayoicho, Chiba 263-8522, Japan.

Journal of Imaging
|December 23, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel framework for reversible data hiding in encrypted images, offering flexible control over hiding capacity and lossless compression. The method allows decryption without data extraction and achieves high hiding rates.

Keywords:
encryption-then-compression systemhiding capacityimage encryptionlossless compressionreversible data hiding

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Area of Science:

  • Computer Science
  • Information Security
  • Image Processing

Background:

  • Reversible data hiding in encrypted images (RDH-EI) is crucial for secure data transmission.
  • Existing RDH-EI methods often face trade-offs between hiding capacity and compression efficiency.
  • There is a need for flexible RDH-EI frameworks that balance these requirements.

Purpose of the Study:

  • To propose a novel framework for RDH-EI with flexible control over hiding capacity and lossless compression efficiency.
  • To enable decryption of marked encrypted images without prior data extraction.
  • To achieve high hiding rates while maintaining compression performance.

Main Methods:

  • The proposed framework divides an original image into two distinct regions.
  • Two different RDH-EI methods are applied to each region.
  • One region supports decryption without data extraction and lossless compression.
  • The other region achieves a high hiding rate of approximately 1 bit per pixel (bpp).

Main Results:

  • The framework successfully decrypts marked encrypted images without data extraction.
  • One region allows for lossless compression using standard image coding techniques.
  • The second region demonstrates a high data hiding rate.
  • Experimental results validate the method's effectiveness in balancing capacity and compression.

Conclusions:

  • The proposed RDH-EI framework offers a flexible and effective solution for secure image data embedding.
  • It successfully addresses the trade-off between hiding capacity and lossless compression efficiency.
  • The method provides dual benefits: secure data hiding and efficient image compression.