Text information hiding and recovery via wavelet digital watermarking method

Area of Science:

• Digital Signal Processing
• Information Security
• Wavelet Theory

Background:

• Digital watermarking is crucial for data integrity and security.
• Embedding information in noisy signals presents significant challenges.
• Wavelet transforms offer a robust method for signal decomposition and analysis.

Purpose of the Study:

• To present a novel wavelet text hiding algorithm for embedding text into signals corrupted by white noise.
• To develop a corresponding algorithm for accurate text recovery from the watermarked signal.
• To analyze the factors influencing the performance and security of the text hiding and recovery process.

Main Methods:

• Utilized wavelet digital watermarking techniques for information embedding.
• Developed a text hiding algorithm incorporating white noise into a base signal (e.g., sin x, cos x).
• Implemented and demonstrated a text recovery approach from the synthesized, watermarked signal.

Main Results:

• The wavelet text hiding algorithm and its recovery method were shown to be feasible through examples.
• Analysis indicated the roles of wavelet function, noise, embedding mode, and position in text hiding and recovery.
• Computational complexity and running time were evaluated using 1000 English text groups.

Conclusions:

• The proposed wavelet-based text hiding and recovery algorithms are effective and feasible.
• The study provides insights into optimizing security by analyzing key parameters.
• The approach has potential social applications, with future research directions identified.