Title :
A Blind Watermarking Scheme Based on Wavelet Tree Quantization
Author :
Lin, Wei-Hung ; Wang, Yuh-Rau ; Horng, Shi-Jinn
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
Abstract :
This paper proposes a blind watermarking scheme based on wavelet tree quantization for copyright protection. In such a quantization scheme, there exists a large significant difference while embedding a watermark bit 1 and a watermark bit 0; it then does not require any original image or watermark during the watermark extraction. As a result, the watermarked images look lossless in comparison with the original ones, and the proposed method can effectively resist common image processing attacks; especially for JPEG compression and low-pass filtering. Moreover, by designing an adaptive threshold value in the extraction process, our method is more robust for resisting common attacks such as median filtering, average filtering, and Gaussian noise. Experimental results show that the watermarked image looks visually identical to the original, and the watermark can be effectively extracted even after either an unintentional image processing or intentional image attacks.
Keywords :
Gaussian noise; data compression; filtering theory; image coding; low-pass filters; median filters; trees (mathematics); watermarking; wavelet transforms; Gaussian noise; JPEG compression; adaptive threshold value; average filtering; blind watermarking scheme; copyright protection; image processing attacks; low-pass filtering; median filtering; watermark extraction; wavelet tree quantization; Adaptive filters; Copyright protection; Filtering; Image coding; Image processing; Low pass filters; Quantization; Resists; Transform coding; Watermarking; Watermark; blind watermarking method; copyright protection; local significant difference; wavelet tree;
Conference_Titel :
Secure System Integration and Reliability Improvement, 2008. SSIRI '08. Second International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-0-7695-3266-0
Electronic_ISBN :
978-0-7695-3266-0
DOI :
10.1109/SSIRI.2008.37