NDLI: Modified spread-transform dither modulation

Content Provider	IEEE Xplore Digital Library
Author	Yifeng Zhang Chengwei Jia Zhengkang Xu Kai Wang Wenjiang Pei
Copyright Year	2011
Description	Author affiliation: School of Information Science and Engineering, SoutheastUniversity, Nanjing 210096, China (Yifeng Zhang; Chengwei Jia; Zhengkang Xu; Kai Wang; Wenjiang Pei)
Abstract	According to the correlation between adjacent blocks of the carrier image, two algorithms, called STDM-CO-MW and STDM-PCO-MW, are proposed. By using the quantization step calculated from the previous secondary block to modulate the latter secondary block, STDM-CO-MW solves the problem of the difference of quantization step between embedding and decoding. In order to raise the correlation between adjacent secondary blocks, STDM-PCO-MW exchanges the pixels between the previous secondary block and the latter one before embedding. As a result STDM-PCO-MW is more robust. Thanks to the quantization step calculated above based on modified Watson model, we find that the quantization step of our algorithms varies linearly with the brightness of the carrier image adaptively. From the results of numerical simulation, it is obvious that our proposed algorithms are robust to JPEG compression, Gaussian noise and gain attack. Compared with AQIM and general STDM based on Watson model, our algorithms have a great improvement in performance.
Starting Page	1
Ending Page	5
File Size	1120987
Page Count	5
File Format	PDF
ISBN	9781457710094
e-ISBN	9781457710100
e-ISBN	9781457710087
DOI	10.1109/WCSP.2011.6096728
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Image coding Spread-transform dither modulation Quantization index modulation Transform coding Modulation Watermarking Quantization Visual model Robustness Digital watermark
Content Type	Text
Resource Type	Article

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