Enhancing Speed and Imperceptibility in Watermarking Systems by Leveraging Galois Field Tables

Abstract

The use of watermarking techniques, which incorporate invisible information into multimedia files, is crucial for securing digital content. Watermarking research still faces difficulties in striking a balance between speed, robustness, and imperceptibility. This research suggests a novel method for improving the speed and imperceptibility of watermarking systems that makes use of Galois Field (GF) tables. The advantage of creating GF tables is that they implement GF operations well, which greatly accelerates the watermarking processes. It is possible to reduce computational complexity and speed up execution times by previously calculating and storing GF tables. The proposed method is ideal for applications with strict time limitations since this performance improvement allows real-time watermarking. Additionally, imperceptibility is enhanced by the use of well-chosen irreducible polynomials in GF-based watermarking algorithms. The distribution and modulation of watermark bits are influenced by the selection of irreducible polynomials, allowing for optimal embedding with the least amount of visual distortions. By using this selection technique, the host media’s quality and integrity are preserved because the embedded watermark is kept transparent or undetectable to human observers. In conclusion, this study provides a novel approach that makes use of Galois Field tables and selective irreducible polynomials to improve the speed and imperceptibility of watermarking systems. GF tables are used to increase computing effectiveness and enable real-time processing, whereas irreducible polynomials are selected to maximize imperceptibility. This strategy creates new opportunities for the creation of watermarking methods that effectively safeguard digital content without reducing user experience or system performance.

Keywords

• Security
• Galois field
• irreducible polynomial
• robustness
• addition table
• multiplication table