High-Capacity RDH in Encrypted Images Based on Interpolation Mechanism

This study presents a high-capacity reversible data hiding (RDH) method within encrypted images. The proposed method implements a three-pass encryption algorithm to ensure image security. To generate additional space for data embedding, an interpolation mechanism is used. Secret data is hidden within all interpolated pixels using an adaptive hiding method based on pixel differences. Experimental results demonstrated that our method substantially improves existing methods regarding embedding capacity, achieving a mean embedding rate of 4.06 bits per pixel (bpp) across standard test images. Pixel correlation and histogram analysis are employed in a security analysis, confirming the method's robustness against statistical attacks. The method allows for the full restoration of both the original image and the hidden data. Therefore, the proposed method is suited for applications requiring high embedding capacity and security, for instance, medical imaging and military communications.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/vcris63677.2024.10813446
Citations
1
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.25
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article

High-Capacity RDH in Encrypted Images Based on Interpolation Mechanism

Thai‐Son Nguyen, H. Tram
1 citations
Chaos-based Image/Signal Encryption
0.25
article

High-Capacity RDH in Encrypted Images Based on Interpolation Mechanism

Thai‐Son Nguyen, H. Tram
article en
1 citations

Abstract

This study presents a high-capacity reversible data hiding (RDH) method within encrypted images. The proposed method implements a three-pass encryption algorithm to ensure image security. To generate additional space for data embedding, an interpolation mechanism is used. Secret data is hidden within all interpolated pixels using an adaptive hiding method based on pixel differences. Experimental results demonstrated that our method substantially improves existing methods regarding embedding capacity, achieving a mean embedding rate of 4.06 bits per pixel (bpp) across standard test images. Pixel correlation and histogram analysis are employed in a security analysis, confirming the method's robustness against statistical attacks. The method allows for the full restoration of both the original image and the hidden data. Therefore, the proposed method is suited for applications requiring high embedding capacity and security, for instance, medical imaging and military communications.

Tra Vinh University (VN)
Affordable and clean energy
Openalex Percentile: Top 43%
Chaos-based Image/Signal Encryption
0.25
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