An analysis of quantization influence on optimal detection of multiplicative watermark

Analysis of quantization effects on watermarked coefficients and watermark is considered. A criterion for selection of coefficients suitable for watermarking in the presence of quantization is derived. The effects of quantization are further analyzed in terms of the probability of detectable watermark and the probability of zero-quantized watermarked coefficients. This analysis is used to define an image watermarking procedure that provides robustness to an arbitrary JPEG compression/quantization degree. Theoretical results are illustrated by examples.

[1]  A Nonlinear Detector for Optimal DCT-Domain Watermark Detection , 2010, 2010 International Conference on Electrical and Control Engineering.

[2]  Srdjan Stankovic,et al.  About time-variant filtering of speech signals with time-frequency distributions for hands-free telephone systems , 2000, Signal Process..

[3]  Michael G. Strintzis,et al.  Locally optimum nonlinearities for DCT watermark detection , 2004, IEEE Transactions on Image Processing.

[4]  Panagiotis Tsakalides,et al.  Hidden messages in heavy-tails: DCT-domain watermark detection using alpha-stable models , 2005, IEEE Transactions on Multimedia.

[5]  Mauro Barni,et al.  Watermarking Systems Engineering (Signal Processing and Communications, 21) , 2004 .

[6]  Ioannis Pitas,et al.  Asymptotically optimal detection for additive watermarking in the DCT and DWT domains , 2003, IEEE Trans. Image Process..

[7]  Rainer Herpers,et al.  An Approach to Optimal Watermark Detection , 2003 .

[8]  Abdelhak M. Zoubir,et al.  A nonparametric approach to signal detection in impulsive interference , 2000, IEEE Trans. Signal Process..

[9]  Irena Orovic,et al.  Robust Speech Watermarking Procedure in the Time-Frequency Domain , 2008, EURASIP J. Adv. Signal Process..

[10]  Thomas S. Huang,et al.  Robust optimum detection of transform domain multiplicative watermarks , 2003, IEEE Trans. Signal Process..

[11]  Robust SpeechWatermarking Procedure in the Time-Frequency Domain , 2008 .

[12]  Joseph W. Goodman,et al.  A mathematical analysis of the DCT coefficient distributions for images , 2000, IEEE Trans. Image Process..

[13]  Ingemar J. Cox,et al.  Digital Watermarking , 2003, Lecture Notes in Computer Science.

[14]  Fernando Pérez-González,et al.  DCT-domain watermarking techniques for still images: detector performance analysis and a new structure , 2000, IEEE Trans. Image Process..

[15]  Irena Orovic,et al.  An Application of Multidimensional Time-Frequency Analysis as a Base for the Unified Watermarking Approach , 2010, IEEE Transactions on Image Processing.

[16]  Irene G. Karybali,et al.  Efficient spatial image watermarking via new perceptual masking and blind detection schemes , 2006, IEEE Transactions on Information Forensics and Security.

[17]  Irena Orovic,et al.  An image watermarking based on the pdf modeling and quantization effects in the wavelet domain , 2012, Multimedia Tools and Applications.