Joint compression/watermarking scheme using majority-parity guidance and halftoning-based block truncation coding.

Area of Science:

• Digital Image Processing
• Information Security
• Data Compression

Background:

• Traditional block truncation coding (BTC) suffers from blocking effects and false contours.
• Embedding watermarks during compression is crucial for multimedia data security.
• Existing methods often compromise image quality or embedding capacity.

Purpose of the Study:

• To propose a novel watermarking scheme, MPG-EDBTC, for high-quality and high-capacity image watermarking.
• To address the inherent limitations of traditional BTC methods.
• To enable simultaneous watermark embedding during image compression.

Main Methods:

• Utilizing error diffusion (EDBTC) to mitigate blocking effects and false contours.
• Replacing traditional mean evaluation with extreme value substitution for improved coding efficiency.
• Implementing majority-parity-guided (MPG) watermarking by evaluating parity in a predefined parity-check region (PCR).

Main Results:

• MPG-EDBTC demonstrates significant improvements in image quality and embedding capacity.
• The scheme exhibits robust performance against various attacks.
• Enhanced coding efficiency is achieved through optimized value substitution.
• The extended version successfully embeds multiple watermarks with excellent quality and capacity.

Conclusions:

• MPG-EDBTC effectively overcomes the limitations of traditional BTC.
• The proposed method offers a superior solution for robust and high-capacity watermark embedding during compression.
• MPG-EDBTC provides excellent image quality, robustness, and processing efficiency.