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Reseach Article

A Spatial Domain Watermarking Approach for Digital Images based on Image Features built on Formal Concepts Analysis

by Quist-aphetsi Kester, Laurent Nana, Anca Christine Pascu, Sophie Gire, Jojo M. Eghan, Nii Narku Quaynor
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 7
Year of Publication: 2015
Authors: Quist-aphetsi Kester, Laurent Nana, Anca Christine Pascu, Sophie Gire, Jojo M. Eghan, Nii Narku Quaynor
10.5120/21077-3754

Quist-aphetsi Kester, Laurent Nana, Anca Christine Pascu, Sophie Gire, Jojo M. Eghan, Nii Narku Quaynor . A Spatial Domain Watermarking Approach for Digital Images based on Image Features built on Formal Concepts Analysis. International Journal of Computer Applications. 119, 7 ( June 2015), 5-10. DOI=10.5120/21077-3754

@article{ 10.5120/21077-3754,
author = { Quist-aphetsi Kester, Laurent Nana, Anca Christine Pascu, Sophie Gire, Jojo M. Eghan, Nii Narku Quaynor },
title = { A Spatial Domain Watermarking Approach for Digital Images based on Image Features built on Formal Concepts Analysis },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 7 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number7/21077-3754/ },
doi = { 10.5120/21077-3754 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:03:23.771720+05:30
%A Quist-aphetsi Kester
%A Laurent Nana
%A Anca Christine Pascu
%A Sophie Gire
%A Jojo M. Eghan
%A Nii Narku Quaynor
%T A Spatial Domain Watermarking Approach for Digital Images based on Image Features built on Formal Concepts Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 7
%P 5-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A proof of ownership based on digital forensics evidence is the way forward in solving ownership disputes in the ever growing cyberspace that confronts us today. A strong proof beyond all reasonable doubts with the good standing of the law provides victory for a case before a competent court of law. The Society we live in is governed by laws and laws need evidence to pass judgments and not any kind of evidence but evidence compelling enough to attract the passing of judgment. Lessons learnt from the past of the failures of the court to provide and use strong verified evidence due to limitations of scientific evidence such as DNA, surveillance videos, authenticable images etc. have cost human life's freedom and having access to a fair trial. We cannot wait till certain loopholes are exploited in our digital cyber evolution before we get it fixed. Hence stronger and a more compelling techniques are needed for image authentication and identification. In our work, we proposed a spatial domain watermarking approach for digital images based on image features built on formal concepts analysis. We adopt the use of formal concept analysis due to the fact that a change in a pixel value can result in a change in the lattice generated from the image. We presented our results and they showed to be very effective.

References
  1. Som, S. , Palit, S. , Dey, K. , Sarkar, D. , Sarkar, J. , & Sarkar, K. (2015). A DWT-based Digital Watermarking Scheme for Image Tamper Detection, Localization, and Restoration. In Applied Computation and Security Systems (pp. 17-37). Springer India.
  2. . Shao, Z. , Duan, Y. , Coatrieux, G. , Wu, J. , Meng, J. , & Shu, H. (2015). Combining double random phase encoding for color image watermarking in quaternion gyrator domain. Optics Communications, 343, 56-65.
  3. Hyung-Kyo Lee; Hee-Jung Kim; Seong-Geun Kwon; Jong-Keuk Lee, "ROI Medical Image Watermarking Using DWT and Bit-plane," Communications, 2005 Asia-Pacific Conference on , vol. , no. , pp. 512,515, 5-5 Oct. 2005 doi: 10. 1109/APCC. 2005. 1554112
  4. Na Li; Xiaoshi Zheng; Yanling Zhao; Huimin Wu; Shifeng Li, "Robust Algorithm of Digital Image Watermarking Based on Discrete Wavelet Transform," Electronic Commerce and Security, 2008 International Symposium on , vol. , no. , pp. 942,945, 3-5 Aug. 2008 doi: 10. 1109/ISECS. 2008. 140
  5. Jiang Xuehua, "Digital Watermarking and its Application in Image Copyright Protection," Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on , vol. 2, no. , pp. 114,117, 11-12 May 2010 doi: 10. 1109/ICICTA. 2010. 625
  6. Rawat, N. , Kim, B. , Muniraj, I. , Situ, G. , & Lee, B. G. (2015). Compressive sensing based robust multispectral double-image encryption. Applied Optics, 54(7), 1782-1793.
  7. Liu, H. , Kadir, A. , & Gong, P. (2015). A fast color image encryption scheme using one-time S-Boxes based on complex chaotic system and random noise. Optics Communications, 338, 340-347.
  8. Ganter, B. , & Wille, R. (2012). Formal concept analysis: mathematical foundations. Springer Science & Business Media.
  9. Wille, R. (2005). Formal concept analysis as mathematical theory of concepts and concept hierarchies. In Formal Concept Analysis (pp. 1-33). Springer Berlin Heidelberg.
  10. Tilley, T. , Cole, R. , Becker, P. , & Eklund, P. (2005). A survey of formal concept analysis support for software engineering activities. In Formal concept analysis (pp. 250-271). Springer Berlin Heidelberg.
  11. Chaudron, L. , & Maille, N. (2000). Generalized formal concept analysis. In Conceptual Structures: Logical, Linguistic, and Computational Issues (pp. 357-370). Springer Berlin Heidelberg
  12. Bernhard Ganter, Bernhard and Rudolf Wille: Formal Concept Analysis: Mathematical Foundations. Springer, Berlin, ISBN 3-540-62771-5, p. 1
  13. Pascu, A. , & Desclés, J. P. (2008). Attribute-Value Formalization in the Framework of the Logic of Determination of Objects (LDO) and Categorization. In FLAIRS Conference (pp. 506-511).
  14. Kester, Q. A. , Pascu, A. C. , Nana, L, Gire, S. , Eghan, J. M. , & Quaynnor, N. N. (2015). Feature Based Encryption Technique for Securing Digital Image Data Based on FCA-Image attributes and Visual Cryptography. Lecture Notes in Computer Science. Theoretical Computer Science and General Issues:Computational Science and Its Applications. Springer Berlin Heidelberg.
  15. Kester, Q. A. , Pascu, A. C. , Nana, L, Gire, S. , Eghan, J. M. , & Quaynnor, N. N. (2015). Feature Based Encryption Technique for Securing Digital Image Data Based on FCA-Image attributes and Visual Cryptography. In Computational Science and Its Applications–ICCSA 2015. Springer International Publishing.
Index Terms

Computer Science
Information Sciences

Keywords

Formal Concept Analysis Digital image encryption authentication watermarking