High capacity data hiding with absolute moment block truncation coding image based on interpolation.

Area of Science:

• Computer Science
• Information Security
• Digital Image Processing

Background:

• Data hiding embeds secret information within cover media without altering the original data.
• Absolute Moment Block Truncation Coding (AMBTC) is an established technique for data hiding, balancing data concealment and image quality.
• Existing AMBTC methods face limitations in significantly improving performance beyond current benchmarks.

Purpose of the Study:

• To propose a novel data hiding method that overcomes the performance limitations of current AMBTC-based techniques.
• To enhance the efficiency and effectiveness of data concealment in digital images.
• To improve upon existing image quality metrics in data hiding applications.

Main Methods:

• The proposed method transforms original images into cover images using AMBTC.
• Image expansion is performed using a neighbor average interpolation algorithm.
• Three distinct data hiding strategies are applied to the generated cover image: direct pixel replacement, replacement in extended pixels, and Hamming code application for minimized pixel modification.

Main Results:

• The developed data hiding methods demonstrate superior efficiency compared to traditional AMBTC-based approaches.
• Experimental results validate the effectiveness of the proposed techniques in data concealment.
• The use of Hamming code minimizes the number of pixels altered during the data hiding process.

Conclusions:

• The proposed AMBTC-based data hiding method offers a significant improvement over existing techniques.
• The integration of image expansion and targeted pixel manipulation enhances data hiding efficiency.
• This research contributes a more effective solution for secure data concealment in digital images.