NDLI: Progressive Halftone Watermarking Using Multilayer Table Lookup Strategy

Content Provider	IEEE Xplore Digital Library
Author	Jing-Ming Guo Guo-Hung Lai Koksheik Wong Li-Chung Chang
Copyright Year	1992
Abstract	In this paper, a halftoning-based multilayer watermarking of low computational complexity is proposed. An additional data-hiding technique is also employed to embed multiple watermarks into the watermark to be embedded to improve the security and embedding capacity. At the encoder, the efficient direct binary search method is employed to generate 256 reference tables to ensure the output is in halftone format. Subsequently, watermarks are embedded by a set of optimized compressed tables with various textural angles for table lookup. At the decoder, the least mean square metric is considered to increase the differences among those generated phenotypes of the embedding angles and reduce the required number of dimensions for each angle. Finally, the naïve Bayes classifier is employed to collect the possibilities of multilayer information for classifying the associated angles to extract the embedded watermarks. These decoded watermarks can be further overlapped for retrieving the additional hidden-layer watermarks. Experimental results show that the proposed method requires only 8.4 ms for embedding a watermark into an image of size 512 × 512, under the 32-bit Windows 7 platform running on 4GB RAM, Intel core i7 Sandy Bridge with 4GB RAM and IDE Visual Studio 2010. Finally, only 2 MB is required to store the proposed compressed reference table.
Sponsorship	IEEE Signal Processing Society
Page Count	16
File Size	4331239
Starting Page	2009
Ending Page	2024
File Format	PDF
ISSN	10577149
Volume Number	24
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Watermarking Image coding Gray-scale Table lookup Decoding Satellite broadcasting data hiding. Halftoning watermarking least mean square naïve Bayes classifier
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Watermarking for position-mapping-based halftoning

Oriented Modulation for Watermarking in Direct Binary Search Halftone Images

Texture orientation modulation for halftoning watermarking

Halftone-Image Security Improving Using Overall Minimal-Error Searching

High-capacity data hiding in halftone images using minimal-error bit searching and least-mean square filter

Halftone Image Classification Using LMS Algorithm and Naive Bayes

Halftone image classification using LMS algorithm and naïve Bayes

Efficient Halftoning Based on Multiple Look-Up Tables

Inverse Halftoning Based on the Bayesian Theorem

Progressive Halftone Watermarking Using Multilayer Table Lookup Strategy

Similar Documents

Watermarking for position-mapping-based halftoning

Oriented Modulation for Watermarking in Direct Binary Search Halftone Images

Texture orientation modulation for halftoning watermarking

Halftone-Image Security Improving Using Overall Minimal-Error Searching

High-capacity data hiding in halftone images using minimal-error bit searching and least-mean square filter

Halftone Image Classification Using LMS Algorithm and Naive Bayes

Halftone image classification using LMS algorithm and naïve Bayes

Efficient Halftoning Based on Multiple Look-Up Tables

Inverse Halftoning Based on the Bayesian Theorem

Progressive Halftone Watermarking Using Multilayer Table Lookup Strategy