Fulltext-Image Watermarking Using Improved DWT and HVS Based on JPEG Compression (original) (raw)
Abstract
As multimedia data and their applications are rapidly distributed on the Web, the research on watermark insertion and integrity vigorously increases. In this paper, discrete wavelet transformation dissolves an original image into the 3-levels of low, middle, and high bandwidths. Human visual system with the significant coefficients extracted from the middle obtains enhanced image quality and robustness using watermark insertion. In the end, experimental results show that various attacks cannot destroy pre-inserted watermark and recovered image is of good quality by measuring PSNR.
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Authors and Affiliations
- Dept. of Computer Engineering, University of Hannam, 133 Ojong-Dong, Daeduk-Gu, Taejeon, 306-791, Korea
Wongoo Lee, Byungsun Choi, Seounghyeon Lee & Jaekwang Lee
Authors
- Wongoo Lee
- Byungsun Choi
- Seounghyeon Lee
- Jaekwang Lee
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Editors and Affiliations
- Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland
Piotr S. Szczepaniak - Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01–447, Warsaw, Poland
Janusz Kacprzyk - Institute of Computer Science, Technical University of Łódź, Poland
Adam Niewiadomski
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, W., Choi, B., Lee, S., Lee, J. (2005). Fulltext-Image Watermarking Using Improved DWT and HVS Based on JPEG Compression. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds) Advances in Web Intelligence. AWIC 2005. Lecture Notes in Computer Science(), vol 3528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495772\_40
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- DOI: https://doi.org/10.1007/11495772\_40
- Publisher Name: Springer, Berlin, Heidelberg
- Print ISBN: 978-3-540-26219-0
- Online ISBN: 978-3-540-31900-9
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