Abstract
Perceptual watermarking in the wavelet domain has been proposed for a blind spread spectrum technique, taking into account the noise sensitivity, texture and the luminance content of all the image subbands. In this paper, we propose a modified perceptual mask that models the human visual system behavior in a better way. The texture content is appreciated with the aid of the local standard deviation of the original image, which is further compressed in the wavelet domain. Since the approximation image of the last level contains too little information, we choose to appreciate the luminance content using a higher resolution level approximation subimage. The effectiveness of the new perceptual mask is appreciated by comparison with the old watermarking system.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cox, I., Miller, M., Bloom, J.: Digital Watermarking. Morgan Kaufmann Publishers, San Francisco (2002)
Barni, M., Bartolini, F., Piva, A.: Improved wavelet-based watermarking through pixel-wise masking. IEEE Trans. on Image Processing 10(5), 783–791 (2001)
Nafornita, C., Isar, A., Borda, M.: Image Watermarking Based on the Discrete Wavelet Transform Statistical Characteristics. In: Proc. IEEE Int. Conf. EUROCON, Belgrade, Serbia & Montenegro, pp. 943–946 (November 2005)
Kundur, D.: Water-filling for Watermarking? In: Proc. IEEE Int. Conf. On Multimedia and Expo., New York City, pp. 1287–1290 (August 2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nafornita, C., Isar, A., Borda, M. (2006). Improved Pixel-Wise Masking for Image Watermarking. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_14
Download citation
DOI: https://doi.org/10.1007/11848035_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39392-4
Online ISBN: 978-3-540-39393-1
eBook Packages: Computer ScienceComputer Science (R0)