Title :
Image adaptive watermarking using wavelet domain singular value decomposition
Author :
Bao, P. ; Xiaohu Ma
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Abstract :
In this letter, we propose a novel, yet simple, image-adaptive watermarking scheme for image authentication by applying a simple quantization-index-modulation process on wavelet domain singular value decomposition. Unlike the traditional wavelet-based watermarking schemes where the watermark bits are embedded directly on the wavelet coefficients, the proposed scheme is based on bit embedding on the singular value (luminance) of the blocks within wavelet subband of the original image. To improve the fidelity and the perceptual quality of the watermarked image and to enhance the security of watermarking, we model the adaptive quantization parameters based on the statistics of blocks within subbands. The scheme is robust against JPEG compression but extremely sensitive to malicious manipulation such as filtering and random noising. Watermark detection is efficient and blind in the sense only the quantization parameters but not the original image are required. The quantization parameters adaptive to blocks are vector quantized to reduce the watermarking overhead.
Keywords :
image enhancement; quantisation (signal); singular value decomposition; statistical analysis; watermarking; wavelet transforms; adaptive quantization parameter; image adaptive watermarking; image authentication; image enhancement; quantization-index-modulation process; random noising; statistic modeling; wavelet domain singular value decomposition; Authentication; Quantization; Robustness; Security; Singular value decomposition; Statistics; Transform coding; Watermarking; Wavelet coefficients; Wavelet domain; Fragile watermarking; singular value decomposition (SVD); statistic modeling; wavelet;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
DOI :
10.1109/TCSVT.2004.836745