AMBTC based high payload data hiding with modulo-2 operation and Hamming code.

Area of Science:

• Computer Science
• Information Security
• Digital Image Processing

Background:

• Absolute Moment Block Truncation Coding (AMBTC) is a compression technique for images.
• Data hiding methods are crucial for secure information transmission.
• Existing methods may have limitations in capacity or visual quality.

Purpose of the Study:

• To propose an efficient data hiding method using AMBTC.
• To enhance security and embedding capacity.
• To maintain good visual quality of the stego-images.

Main Methods:

• Utilizing modulo-2 operation and Hamming code (3, 2) for data embedding.
• Classifying AMBTC compressed codes into smooth and complex blocks based on texture.
• Applying different embedding strategies for smooth and complex blocks.

Main Results:

• The proposed method achieves higher data hiding capacity compared to existing techniques.
• Good visual quality is maintained in the stego-images.
• Enhanced security through modulo-2 operations and bit-plane manipulation.

Conclusions:

• The novel data hiding approach offers a superior balance of capacity, security, and visual fidelity.
• The texture-based block classification effectively optimizes embedding strategies.
• This method presents a promising solution for secure image data hiding.