Digital watermarking method for image feature point extraction and analysis

• Published in: International journal of intelligent systems Vol. 37; no. 10; pp. 7281 - 7299
• Main Authors: Shan, Chun, Zhou, Siyi, Zhang, Ziyi, Li, Mianjie
• Format: Journal Article
• Language: English
• Published: New York John Wiley & Sons, Inc 01.10.2022
• Subjects: Algorithms; Digital imaging; Digital watermarking; Digital watermarks; Discrete Wavelet Transform; Embedding; Feature extraction; information hiding; information security; Intelligent systems; Multimedia; Robustness; second‐level wavelet decomposition; wavelet transform; Wavelet transforms
• ISSN: 0884-8173; 1098-111X
• DOI: 10.1002/int.22881

Multimedia information (e.g., photos) is subject to numerous attacks when extensively dispersed, excellent stealth and robustness play a critical role in information concealment. Next, to further improve the imperceptibility of the generated images, we introduce an information embedding based on feature extraction, since the feature points themselves are robust as strong corner points in the images. We will perform specific practical applications in information‐hiding scenarios, such as ticket anticounterfeiting, copyright protection, tampering hints, and covert marking. As a result, while assuring the accuracy of hidden data, assault resistance must also be addressed. In this paper, a strategy for watermark embedding utilizing image feature points is proposed. In principle, the embedding and extraction of digital watermarks are achieved in the transform domain by discrete wavelet transform processing to make digital images more robust than before. The effectiveness of the algorithm is analyzed by experimental data, in which different wavelet bases are used. To check the robustness of the watermarking algorithm, various attacks are performed on watermarked images.