NDLI: Multi-block dependency based watermarking scheme for binary-text image authentication

Content Provider	IEEE Xplore Digital Library
Author	Fan Chen Yao Qin Hongjie He
Copyright Year	2014
Description	Author affiliation: Sichuan Key Lab. of Signal & Inf. Process., Southwest Jiaotong Univ., Chengdu, China (Fan Chen; Yao Qin; Hongjie He)
Abstract	To improve the ability against different counterfeiting attacks, a watermarking algorithm is proposed for binary-text image (BTI) authentication. To protect the uniform regions in BTI, the watermark information of a fixed-size block is generated according to the content of it and divided into three parts. One part is embedded in the flippable pixels of itself, and the other two parts are respectively embedded in the flippable pixels of other two blocks in BTI, which are randomly chosen based on the secret key. This strategy can not only introduce the block-wise dependence, but also make it possible for the authentication watermark of a uniform block to be embedded in the BTI. In the tamper detection stage, a multi-block based statistic detection method is designed to verify the validity of an image block. Simulation results show that the proposed algorithm can achieve a good imperceptibility and have an ability resisting the maliciously attacks such as collage attack, delete tampering, replace tampering etc.
Starting Page	1
Ending Page	5
File Size	342586
Page Count	5
File Format	PDF
ISBN	9786163618238
DOI	10.1109/APSIPA.2014.7041611
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	Cambodia
Access Restriction	Subscribed
Rights Holder	Asia-Pacific Signal and Information Processing Ass
Subject Keyword	Algorithm design and analysis Decision support systems Authentication Watermarking Counterfeiting
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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