Gaussian Filter Based Image Watermarking

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Abstract:

We present a spatial domain image watermarking method based on a Gaussian filter: it assumes that, in a watermarking method based on the modifying blue image pixels, if the watermark to be embedded within a local area is controlled by a Gaussian distribution, a Gaussian filter based watermark extraction will be the most fitted method used to obtain the highest accurate version of extracted watermark. Experiments show the accuracy of the extracted watermark in terms of NC was notably improved from our previous method. The robustness against attacks was also improved.

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519-522

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August 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] I. J. Cox, M. L. Miller, J. A. Bloom, Digital Watermarking, Morgan Kaufmann, Los Altos, CA, (2002).

Google Scholar

[2] Y. Wang, J. F. Doherty, R. E. V. Dyck, A wavelet based watermarking algorithm for ownership verification of digital images, IEEE trans. on Image Processing, 11(2) (2002) 77-88.

DOI: 10.1109/83.982816

Google Scholar

[3] M. A. Suhail, M. S. Obaidat, Digital watermarking based DCT and JPEG model, IEEE trans. on Instrumentation and Measurement, 52(5) (2003) 1640-1647.

DOI: 10.1109/tim.2003.817155

Google Scholar

[4] M. Kutter, F. Jordan, F. Bossen, Digital signature of colour images using amplitude modulation, Journal of Electronic Imaging, 7(2) (1998) 326-332.

Google Scholar

[5] T. Amornraksa, K. Janthawongwilai, Enhanced images watermarking based on amplitude modulation, Image and Vision Computing, 24(2) (2006) 111-119.

DOI: 10.1016/j.imavis.2005.09.018

Google Scholar

[6] J. A. Hussein, Spatial domain watermarking scheme for colored images based on log-average luminance, Journal of Computing, 2 (2010) 100-103.

Google Scholar