Title :
An SVD-Based Watermarking Method for Image Authenticion
Author :
Hu, Yu-ping ; Chen, Zhi-guang
Author_Institution :
Central South Univ., Changsha
Abstract :
For image content authentication, a secure self-embedding watermarking method based on the singular value decomposition (SVD) is proposed. In the proposed method, the watermark generating and watermark embedding are disposed in the image itself, and the received image authentication needs no information about the original image or watermark. The method increases watermark security and prevents forged watermark. By adjusting the threshold of the detector, a trade-off between the robustness to JPEG compression and the probability of miss detection can be made. The proposed method is robustness and can detect a tampered area with high sensitivity. This is confirmed by experimental results.
Keywords :
image coding; message authentication; singular value decomposition; watermarking; JPEG compression; SVD-based watermarking method; forged watermark; image authentication; image content authentication; secure self-embedding watermarking method; singular value decomposition; watermark security; Authentication; Cybernetics; Data mining; Discrete wavelet transforms; Information security; Machine learning; Matrix decomposition; Robustness; Singular value decomposition; Watermarking; Authentication; Self-embedding watermarking; Singular value decomposition;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370425