Binary Phase-Only Filter Watermarking with Quantized Embedding
The binary phase-only filter digital watermarking
embeds the phase information of the discrete Fourier transform of the
image into the corresponding magnitudes for better image authentication.
The paper proposed an approach of how to implement watermark
embedding by quantizing the magnitude, with discussing how to
regulate the quantization steps based on the frequencies of the magnitude
coefficients of the embedded watermark, and how to embed the
watermark at low frequency quantization. The theoretical analysis and
simulation results show that algorithm flexibility, security, watermark
imperceptibility and detection performance of the binary phase-only
filter digital watermarking can be effectively improved with quantization
based watermark embedding, and the robustness against JPEG
compression will also be increased to some extent.
[1] F. Ahmed and I. S. Moskowitz, "Correlation-based Watermarking Method
for Image Authentication Applications," Optical Engineering, 2004,
vol.43, no.8, pp.1833-1838.
[2] F. Ahmed and I. S. Moskowitz, "The Binary Phase Only Filter as An
Image Watermark", http://www.stormingmedia.us/82/8245/A824564.
html, last viewed on April 4, 2010.
[3] J. Sang and M.S. Alam, "Binary Phase-only Filter based Image
Self-authentication," In Proceedings of SPIE´╝î International Society for
Optical Engineering, vol. 5908, Optical Information Systems III, San
Diego, CA, USA, July 2005, pp.1G-1-1G-8.
[4] Li Xudong, "Blocked DCT and Quantization Based Blind Image Watermark
Algorithm," Computer Engineering, 2006, vol. 32, no.21,
pp.139-140 (in Chinese).
[5] B. Kumar and L. Hassebrook, "Performance Measures for Correlation
Filters," Applied Optics, 1990, vol. 29, no.20, pp.2997-3006.
[6] J. F. Delaigle, C. De Vleeschouwer, B. Macq, "Watermarking Algorithm
based on a Human Visual Model," Signal Processing, 1998, vol.66, no.3,
pp.319-335.
[1] F. Ahmed and I. S. Moskowitz, "Correlation-based Watermarking Method
for Image Authentication Applications," Optical Engineering, 2004,
vol.43, no.8, pp.1833-1838.
[2] F. Ahmed and I. S. Moskowitz, "The Binary Phase Only Filter as An
Image Watermark", http://www.stormingmedia.us/82/8245/A824564.
html, last viewed on April 4, 2010.
[3] J. Sang and M.S. Alam, "Binary Phase-only Filter based Image
Self-authentication," In Proceedings of SPIE´╝î International Society for
Optical Engineering, vol. 5908, Optical Information Systems III, San
Diego, CA, USA, July 2005, pp.1G-1-1G-8.
[4] Li Xudong, "Blocked DCT and Quantization Based Blind Image Watermark
Algorithm," Computer Engineering, 2006, vol. 32, no.21,
pp.139-140 (in Chinese).
[5] B. Kumar and L. Hassebrook, "Performance Measures for Correlation
Filters," Applied Optics, 1990, vol. 29, no.20, pp.2997-3006.
[6] J. F. Delaigle, C. De Vleeschouwer, B. Macq, "Watermarking Algorithm
based on a Human Visual Model," Signal Processing, 1998, vol.66, no.3,
pp.319-335.
@article{"International Journal of Information, Control and Computer Sciences:60059", author = "Hu Haibo and Liu Yi and He Ming", title = "Binary Phase-Only Filter Watermarking with Quantized Embedding", abstract = "The binary phase-only filter digital watermarking
embeds the phase information of the discrete Fourier transform of the
image into the corresponding magnitudes for better image authentication.
The paper proposed an approach of how to implement watermark
embedding by quantizing the magnitude, with discussing how to
regulate the quantization steps based on the frequencies of the magnitude
coefficients of the embedded watermark, and how to embed the
watermark at low frequency quantization. The theoretical analysis and
simulation results show that algorithm flexibility, security, watermark
imperceptibility and detection performance of the binary phase-only
filter digital watermarking can be effectively improved with quantization
based watermark embedding, and the robustness against JPEG
compression will also be increased to some extent.", keywords = "binary phase-only filter, discrete Fourier transform,digital watermarking, image authentication, quantization.", volume = "4", number = "6", pages = "1078-4", }