DocumentCode
2190051
Title
Reducing prediction error in watermark retrieval process by multiple non-linear filtering
Author
Mettripun, Narong ; Hlaing, Nwe Ni ; Pramoun, Thitiporn ; Amornraksa, Thumrongrat
Author_Institution
Comput. Eng. Dept., King Mongkut´´s Univ. of Technol. Thunburi, Bangkok, Thailand
fYear
2011
fDate
17-19 May 2011
Firstpage
987
Lastpage
990
Abstract
This paper presents an improving method used in the watermark retrieval process of digital watermarking for color image based on the modification of image pixels. Based on the prior knowledge of the embedded watermark pattern, some errors from the watermark bit prediction process can be reduced simply by changing the predicted bit value in accordance with all predicted bits value within the prediction area. To achieve this, we simply implement a non-linear filter with different characteristics to the predicted watermark bits, and output the result as the retrieved watermark. With the proposed method, the performance in both accuracy of the retrieved watermark and robustness of the embedded watermark can be improved. The experimental results show the improvements in term of NC at the equivalent PSNR after implementing our retrieval method with the existing watermarking scheme, compared to the previous methods. The improved robustness of the embedded watermark against common image processing based attacks and geometrical attacks are also evaluated and compared.
Keywords
image retrieval; image watermarking; nonlinear filters; digital watermarking; embedded watermark; image pixel; image processing; multiple nonlinear filtering; prediction error; watermark bit prediction process; watermark retrieval process; Brightness; Computers; PSNR; Pixel; Watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2011 8th International Conference on
Conference_Location
Khon Kaen
Print_ISBN
978-1-4577-0425-3
Type
conf
DOI
10.1109/ECTICON.2011.5948008
Filename
5948008
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