NDLI: Perceptual digital watermark of images using ridgelet transform

Content Provider	IEEE Xplore Digital Library
Author	Liang Xiao Hui-Zhong Wu Zhi-Hui Wei Yong Bao
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Nanjing Univ. of Sci. & Technol., China (Liang Xiao; Hui-Zhong Wu; Zhi-Hui Wei; Yong Bao)
Abstract	A perceptually based watermarking technique for image is proposed. It provides a new visual model, which can exactly evaluate the just noticeable distortion (JND) tolerance of human visual system. The watermarking algorithm is designed to address the issue of how to improve the robustness and the security of the embedded watermark according to the image content In order to improve the robustness and transparency, the method is first developed to determine significant ridgelet subbands and to select a couple of significant ridgelet coefficients in these subbands automatically, then the watermark bits are inserted in the visual significant ridgelet coefficients without exceeding the maximum strength of JND. With the spread of spectrum technique and the secret key protection, the security of the embedded watermark is also guaranteed very well. Experiments show that the proposed method can achieve a better tradeoff between the robustness and transparency.
Starting Page	3937
Ending Page	3942
File Size	388130
Page Count	6
File Format	PDF
ISBN	0780384032
DOI	10.1109/ICMLC.2004.1380539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Watermarking Robustness Wavelet transforms Image processing Visual system Information security Image coding Wavelet domain Lungs Computer science
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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