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High-Payload Data-Hiding Method for AMBTC Decompressed Images.

Jung-Yao Yeh¹, Chih-Cheng Chen², Po-Liang Liu¹

¹Graduate Institute of Precision Engineering, National Chung Hsing University, No. 250, Kuo-Kuang Road, Taichung City 402, Taiwan.

Entropy (Basel, Switzerland)

|December 8, 2020

Summary

This summary is machine-generated.

This study introduces a novel data hiding scheme for Absolute Moment Block Truncation Coding (AMBTC) images, achieving high capacity and excellent visual quality. The new method offers improved performance over existing techniques for secure data embedding.

Keywords:

AMBTC data hiding dictionary-based coding pixel value adjusting steganography stego image

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Area of Science:

Computer Science
Information Security
Image Processing

Background:

Data hiding is essential for information security, enabling covert data embedding within cover media.
Absolute Moment Block Truncation Coding (AMBTC) is a lossy image compression technique.
Existing data hiding schemes may face limitations in capacity or visual quality.

Purpose of the Study:

To propose a high-capacity data-hiding scheme specifically for AMBTC decompressed images.
To enhance the security and efficiency of embedding secret data within images.
To improve upon the data-hiding capacity and visual fidelity compared to current methods.

Main Methods:

Developed a unique encoding and decoding dictionary search mechanism for pixel value adjustment.
Utilized a dictionary-based compression approach for secret data.
Implemented the dictionary in both data embedding and extraction processes.
Statistically analyzed the composition of secret data strings.

Main Results:

The proposed scheme demonstrates superior data-hiding capacity compared to existing methods.
Experimental results show excellent visual quality of the cover images after data embedding.
The dictionary-based compression significantly contributes to the high capacity.

Conclusions:

The proposed data hiding scheme offers a significant advancement for AMBTC images.
It provides a practical solution for secure and high-capacity information embedding.
The scheme achieves a favorable balance between data hiding capacity and perceptual transparency.