Compressive data hiding: an unconventional approach for improved color image coding
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
Protection of wavelet-based watermarking systems using filter parametrization
Signal Processing - Special section: Security of data hiding technologies
Query-based watermarking for XML data
ASIACCS '07 Proceedings of the 2nd ACM symposium on Information, computer and communications security
Compressive data hiding: an unconventional approach for improved color image coding
EURASIP Journal on Applied Signal Processing
Filters ranking for DWT-domain robust digital watermarking
EURASIP Journal on Applied Signal Processing
A robust information hiding methodology in wavelet domain
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
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Abstract: In this paper, we determine the watermark domain that maximizes data hiding capacity. We focus on the situation in which the watermarked signal undergoes lossy compression involving quantization in a specified compression domain. A novel linear model for the process of quantization is proposed which leads to analytical results estimating the data hiding capacity for various watermarking domains. Using this framework we predict appropriate transforms for robust spread spectrum data hiding in the face of JPEG compression. Simulation results verify our theoretical observations. We find that a repetition code used in conjunction with spread spectrum watermarking in a different domain than employed for compression improves data hiding capacity.