NDLI: Adaptive reversible data hiding through autoregression

Content Provider	IEEE Xplore Digital Library
Author	Jingyang Wen Jinli Lei Yi Wan
Copyright Year	2012
Description	Author affiliation: Institute for Signals and Information Processing, School of Information Science & Engineering, Lanzhou University, Lanzhou, China (Jingyang Wen; Jinli Lei; Yi Wan)
Abstract	An adaptive reversible data hiding method through autoregression is presented in this paper. In the proposed algorithm, we focus on the image pixel value prediction, which plays a key role in the data embedding process. Unlike conventional data hiding techniques, a threshold is adjusted for each image to divide all pixels into two regions: the smooth region and the texture region. Then the proposed algorithm optimally estimates the coefficients of autoregression model for pixel value prediction through least-squares minimization. The prediction error is adaptively minimized to achieve high prediction accuracy so that more redundancy in the image is exploited to achieve very high data embedding capacity while keeping the distortion low. Experimental results show that the proposed algorithm outperforms typical state-of-the-art methods in general.
Starting Page	831
Ending Page	838
File Size	1132714
Page Count	8
File Format	PDF
ISBN	9781457703430
e-ISBN	9781457703454
DOI	10.1109/ICIST.2012.6221765
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms PSNR Image coding Watermarking Prediction algorithms Payloads Biomedical imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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