A Watermarking Method Using Quantization and Statistical Characteristics of Wavelet Transform
PDCAT '05 Proceedings of the Sixth International Conference on Parallel and Distributed Computing Applications and Technologies
Attack on "Watermarking method based on significant difference of wavelet coefficient quantization"
IEEE Transactions on Multimedia
A blind watermarking scheme using new nontensor product wavelet filter banks
IEEE Transactions on Image Processing
An Efficient Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization
IEEE Transactions on Multimedia
IEEE Transactions on Information Theory
Wavelet tree quantization for copyright protection watermarking
IEEE Transactions on Image Processing
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This paper proposes a blind robust watermarking algorithm based on the quantization of significant DWT coefficients. Low frequent wavelet coefficients of the host image are randomly permutated into sub-groups firstly. To guarantee watermark robustness while preserving good fidelity, watermarking modifications are distributed on the maximum positive and minimum negative coefficients of each group which preserve the most significant local amplitudes. The difference between two largest positive (or smallest negative) coefficients is quantized to an even or odd multiple of a quantization step parameter Q according to the watermark bit to be embedded. The blind watermark extraction could be straightforwardly achieved by checking the parity of the quotient between significant differences and Q. Comparison experiments with existing methods demonstrate the superiority of our scheme on robustness against content-preserving operations and incidental distortions such as JPEG compression, Gaussian noise.