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Quality - Security Uncompromised and Plausible Watermarking for Patent Infringement
Yamuna Govindarajan, Sivakumar Dakshinamurthi
Pages - 11 - 20     |    Revised - 15-02-2007     |    Published - 28-02-2007
Published in International Journal of Image Processing (IJIP)
Volume - 1   Issue - 2    |    Publication Date - August 2007  Table of Contents
MORE INFORMATION
References   |   Cited By (7)   |   Abstracting & Indexing
KEYWORDS
Digital watermarking, Patent protection, Shuffling, Quadtree, Advanced Encryption Standard
ABSTRACT
The most quoted applications for digital watermarking is in the context of copyright-protection of digital (multi-)media. In this paper we offer a new digital watermarking technique, which pledges both Security and Quality for the image for the Patent protection. This methodology uses tale techniques like Shuffling, Composition & Decomposition, and Encryption & Decryption to record the information of a protected primary image and the allied watermarks. The quadtree can aid the processing of watermark and AES provides added security to information. Besides that, we intend a novel architecture for Patent Protection that holds promise for a better compromise between practicality and security for emerging digital rights management application. Security solutions must seize a suspicious version of the application-dependent restrictions and competing objectives.
CITED BY (7)  
1 Tehlani, V. (2012). A New Fragile Approach for Optimization in Invisible Image Watermarking by Using Symmetric Key Algorithms. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 1(5), pp-167.
2 Oueslati, S., Cherif, A., & Solaiman, B. A new scheme of image Watermarking based on method Fuzzy C-means.
3 Chuang, C. H., & Lin, G. S. (2010). Data steganography for optical color image cryptosystems. International Journal of Image Processing, 3(6), 318.
4 Yang, C. Y., & Hu, W. C. (2010). Reversible data hiding in the spatial and frequency domains. Int. J. Image Process, 3(6), 265-384.
5 Krishna, S. L. V., Abdul Rahim, B., Shaik, F., & Rajan, K. S. (2010, November). Lossless embedding using pixel differences and histogram shifting technique. In Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010 (pp. 213-216). IEEE.
6 M. Prasad. R, Dr. S. Koliwad. "A Comprehensive Survey of Contemporary Researches in Watermarking for Copyright Protection of Digital Images". International Journal of Computer Science and Network Security, 9(4): 91-107,2009
7 Chang, Y. H., Zhong, Z. H., & Huang, T. R. Embedding Dual Digital Watermarks Using Odd-Even Property of Binary Images and RSA Public-Key Cryptosystem.
ABSTRACTING & INDEXING
1 Google Scholar 
2 ScientificCommons 
3 Academic Index 
4 CiteSeerX 
5 refSeek 
6 iSEEK 
7 Socol@r  
8 ResearchGATE 
9 Bielefeld Academic Search Engine (BASE) 
10 OpenJ-Gate 
11 Scribd 
12 WorldCat 
13 SlideShare 
14 PDFCAST 
15 PdfSR 
REFERENCES
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“AES Encryption Information” - http://www.bitzipper.com/aes-encryption.html.
“Digital watermarking” definition from http://en.wikipedia.org/wiki/ Digital_ watermarking
“Shuffling Technique” from - http://en.wikipedia.org/wiki/Shuffling.
F. Boland, J. O. Ruanaidh, and C. Dautzenberg, “Watermarking digital images for copyright protection,” in Proc. IEEE Int. Conf. Image Proc. Applicat., 1995, pp. 321–326.
H. K. C. Chang, P. M. Chen, and L. L. Cheng, “Overlapping Representation of Similar Images Using Linear Quadtrees Codes,“ In 8th IPPR Conference on Computer Vision, Graphics and Image Processing, Tao-Yuang, Taiwan, R.O.C., Aug. 1995.
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Nizar Sakr, Nicolas Georganas, and Jiying Zhao,” Copyright Protection of Image Learning Objects using Wavelet-based Watermarking and Fuzzy Logic” 3rd annual elearning conference on Intelligent Interactive Learning Object Repositories Montreal, Quebec, Canada, 9–11 November, 2006
P. Strobach “Quadtree structured recursive plane decomposition coding of images”, IEEE Trans. Signal Proc., vol. 39, pp. 1380-1397, June 1991.
Power Point Presentation in “Watermarking of Digital Images “– by Assoc Prof. Dr. Aziza A. Manaf & Akram M. Zeki , 1st ENGAGE European Union - Southeast Asia ICT , Research Collaboration Conference, March 29–31, 2006
Rahul Shukla, Pier Luigi Dragotti, Minh Do_, and Martin Vetterli “Improved Quadtree Algorithm Based on Joint Coding for piecewise Smooth Image Compression”
Raphael Finkel and J.L.Bentley (1974). "Quad Trees: A Data Structure for Retrieval on Composite Keys". Acta Informatica 4 (1): 1-9.
Soroosh Rezazadeh, and Mehran Yazdi,” A Nonoblivious Image Watermarking System Based on Singular Value Decomposition and Texture Segmentation” PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY VOLUME 13 MAY 2006 ISSN 1307-6884
T. W. Lin, “Compressed Quadtree Representations for Storing Similar Images,” Image and Vision Computing, Vol. 15, 1997, pp. 883-843.
MANUSCRIPT AUTHORS
Mr. Yamuna Govindarajan
- India
yamunaphd@yahoo.com
Professor Sivakumar Dakshinamurthi
- India


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