Abstract
This paper investigates the scope of application of channel coding on compressed host data for watermarking using dither modulation (DM) based quantization index modulation (QIM). Lifting based wavelet is used to decompose the encoded compressed data in integer coefficients. The relative gain on imperceptibility and robustness performance are reported for direct watermark embedding on entropy decoded host, using repetition code, convolution code, and finally the combined use of channel codes and lifting. Simulation results show that 6.24 dB (9.50 dB) improvement in document- to-watermark ratio (DWR) for watermark power at 12. 73 dB (16.81 dB) and 15 dB gain in noise power for watermark decoding at bit error rate (BER) of 10− 2 are achieved, respectively over direct watermarking on entropy decoded data.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Wong, P.H., Au, O.C.: A capacity estimation technique for JPEG-to-JPEG image watermarking. IEEE Trans. on Cir. & Sys. for Video Tech. 13, 747–752 (2003)
Langelaar, G.C., Setyawan, I., Lagendijk, R.L.: Watermarking digital image and video data. IEEE Signal Proc. Mag. 17, 20–46 (2000)
Fridrich, J., Goljan, M., Chen, Q., Pathak, V.: Lossless data embedding with file size preservation. In: Proc. EI, Security, Steganography, Watermarking Multimedia Contents VI, vol. 5306, pp. 354–365 (2004)
Mobasseri, B.J., Berger, R.J.: A foundation for watermarking in compressed domain. IEEE Signal Proc. Lett. 12, 399–402 (2005)
Choi, Y., Aizawa, K.: Digital watermarking using interblock correlation. In: Proc. IEEE Int. Conf. Inf. Tech.:Coding and Compr., pp. 133–138 (2000)
Luo, W., Heileman, G.L., Pizano, C.E.: Fast and robust watermarking for JPEG files. In: Proc. IEEE 5th Southwest Symp. Image Anal. and Interp., pp. 158–162 (2002)
Wu, G., Yang, E.H.: Joint watermarking and compression using scalar quantization for maximizing robustness in the presence of additive gaussian attacks. IEEE Tran. Signal Proc. 53, 834–844 (2005)
Adams, M.D., Kossentini, F.: Reversible integer-to-integer wavelet transforms for image compression: performance evaluation and analysis. IEEE Trans. Image Proc. 9, 1010–1024 (2000)
Chen, B., Wornell, G.W.: Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans. on Information Th. 47, 1423–1443 (2001)
Voloshynovskiy, S., Pun, T.: Capacity security analysis of data hiding technologies. In: Proc. IEEE Int. Conf. Multimedia and Expo., Laussanne, Switzerland, pp. 477–480 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Maity, S.P., Delpha, C., Braci, S., Boyer, R. (2009). Hidden QIM Watermarking on Compressed Data Using Channel Coding and Lifting. In: Chaudhury, S., Mitra, S., Murthy, C.A., Sastry, P.S., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2009. Lecture Notes in Computer Science, vol 5909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11164-8_67
Download citation
DOI: https://doi.org/10.1007/978-3-642-11164-8_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11163-1
Online ISBN: 978-3-642-11164-8
eBook Packages: Computer ScienceComputer Science (R0)
