Wavelet-Domain Image Watermarking Based on Statistical Metrics
A new wavelet-based watermarking technique is presented in this paper, in which watermark signals are selected to be some gray-scale logo image(s). Discrete wavelet transform (DWT) is used to decompose each original image first, whereas the selected watermark logo is decomposed into bit-planes at the same time. In the embedding process, the wavelet coefficients of an original image are divided into blocks. The energy and standard deviation of these blocks are computed and used to control the inserting process. Significant bits of the watermark logo are embedded first in order to have more protection. Original image is necessary in the recovering process, and the differences of the energies and standard deviations between individual blocks in the original image and the watermarked image are used to determine the embedded bit being 1 or 0. Experiment results show that our new method yields quite good visual quality in watermarked images, and is robust to typical signal processing attacks such as compression and filtering.
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- 1.P. M. Chen, “A robust digital watermarking based on a statistic approach,” IEEE Trans. on Information Technology: Coding and Computing, pp.116–121, 2000.Google Scholar
- 2.I. Cox, J. Kilian, T. Leighton, and T. Shamoon, “Secure spread spectrum watermarking for multimedia,” NEC Research Inst. Tech. Report, pp. 95-10, 1995.Google Scholar
- 3.M. George, J. Y. Chouinard, and N. Georganas, “Digital watermarking of images and video using direct sequence spread spectrum techniques,” IEEE Conf. on Electrical and Computing Eng., pp. 116–121, 1999.Google Scholar
- 4.D. Kundur, and D. Hatzinakos, “Digital watermarking using multiresolution wavelet decomposition,” IEEE Trans. on Acoustic, Speech and Signal processing, vol. 5, pp. 2969–2972, 1998.Google Scholar