A Semi Blind Watermarking Technique for Copyright Protection of Image Based on DCT and SVD Domain

Md.Rishad Ahmed

A Semi Blind Watermarking Technique for Copyright Protection of Image Based on DCT and SVD Domain

Md. Rishad Ahmed §

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Md. Maklachur Rahman

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Md. Shale Ahammed ‡

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Mohammed Navid Izhar

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§ Department of Electrical and Electronic Engineering,...

‡ Department of Applied Physics and Electronic Enginee...

A Semi Blind Watermarking Technique for Copyright Protection of Image Based on DCT and SVD Domain

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Abstract

With the rapid use of digital data in information technology and multimedia, piracy and malicious manipulations have become a common concern, thus it is inevitable that the digital content is protected. Hence copyright protection has become a vital issue. Digital watermarking has emerged as a solution to this problem. In this paper, a watermarking technique is proposed and implemented. In which the original image is sorted out to another form by applying zigzag process followed by DCT and SVD. Watermark is then embedded by modifying the singular values and extraction of watermark is the inverse process of embedding. The deliberated algorithm gives good Peak Signal to Noise Ratio (PSNR) which ensures good imperceptibility and Normalized Cross Correlation (NCC) which ensures more robustness against different kinds of noise such as Histogram equalization, JPEG compression, Speckle noise, Gaussian noise, Salt and Pepper noise, Cropping, Rotation, Sharpening and so on. The human eyes are more sensitive to noise in lower- frequency band than higher frequency. The zigzag scanning process is implied for energy distribution from high to low frequency as well as from low to high frequency with the same manner.

References

16 Cites in Article

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1. S. Leena,Dhayanithy (2013). Robust Image Watermarking in Frequency Domain. International Journal of Innovation and Applied Studies (IJIAS, 2(4), 582-587.
2. M. Kaur,S. Jindal,S.Behal (2012). A Study of DigitaI Image Watermarking. International Journal of Research in Engineering & Applied Sciences, 2, 226-236.
3. M. Dr,Dorairangaswamy (2009). A Robust Blind Image Watermarking Scheme in Spatial Domain for Copyright Protection. International Journal of Engineering and Technology, 1(3)
4. Ali Al-Haj (2007). Combined DWT-DCT Digital Image Watermarking. Journal of Computer Science, 3(9), 740-746.
CrossRef DOI
5. F. Huang,ZH. Guan (2004). A hybrid SVD-DCT watermarking method based on LPSNR. Pattern Recognition Letters, 25
6. E. Ganicand,A. Eskicioglu (2004). Robust DWT-SVD Domain Image Watermarking: Embedding Data in All Frequencies. Proceedings of the ACM Multimedia and Security Workshop, 2004, 166-174.
7. R. Liu,T. Tan (2002). A SVD-Based Watermarking Scheme for Protecting Rightful Ownership. IEEE Transactions on Multimedia, 2002(1), 121-128.
8. D. Chandra (2002). Digital image watermarking using singular value decomposition. The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002, 3, III-264-III-267.
CrossRef DOI
9. Mauro Barni,Franco Bartolini,Vito Cappellini,Alessandro Piva (1998). A DCT-domain system for robust image watermarking. Signal Processing, 66(3), 357-372.
CrossRef DOI
10. Z. Zhou,B. Tang,X. Liu (2006). A Block-SVD Based Image Watermarking Method. Proceedings of the 6th World Congress on Intelligent Control and Automation
11. Soumya Mukherjee,Arup Pal (2012). A DCT-SVD based robust watermarking scheme for grayscale image. Proceedings of the International Conference on Advances in Computing, Communications and Informatics, 573-578.
CrossRef DOI
12. E. Hagras,M. El-Mahallawy,A. Eldin,M. Fakhr (2011). ”Robust Secure and Blind Watermarking Based on DWT DCT Partial Multi Map Chaotic Encryption,” The International Journal of Multimedia & Its Applications (IJMA). The International journal of Multimedia & Its Applications, 3(4), 37-47.
13. N. Nikolaidis,I. Pitas (1998). Robust image watermarking in the spatial domain. Signal Processing, 66(3), 385-403.
CrossRef DOI
14. Y. Wang,J. Doherty,R. Van Dyck (2002). A wavelet-based watermarking algorithm for ownership verification of digital images. IEEE Transactions on Image Processing, 11(2), 77-88.
CrossRef DOI
15. Y. Wu (2005). On the Security of an SVD based Ownership watermarking. IEEE transactions on Multimedia, 7(4)
16. A. Sverdlov,S. Dexter,A. Eskicioglu (2005). Robust DCT-SVD Domain Image Watermarking for Copyright Protection: Embedding Data in All Frequencies. submitted to Multimedia Computing and Networking 2005 Conference, 16-20.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Maklachur Rahman, Md. Shale Ahammed, Md. Rishad Ahmed, Mohammed Navid Izhar. 2017. "A Semi Blind Watermarking Technique for Copyright Protection of Image Based on DCT and SVD Domain". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 16 (GJRE Volume 16 Issue 24 (F7)).

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GJRE Volume 16 Issue 24 (F7)

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

DCT sorted out image SVD watermarking zigzag process

Classification

GJRE-F Classification FOR Code: 090699

Submission ReceivedDecember 9, 2015
Peer Review Double Blind
Handling Editor
Accepted January 4, 2016
Published October 17, 2016

Version of record

v1.2

Issue date

October 17, 2016

Language

English

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Article Matrices

Total Score: 104

Country: Bangladesh

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: Md.Maklachur Rahman, Md.Shale Ahammed, Md.Rishad Ahmed, Mohammed Navid Izhar (PhD/Dr. count: 0)

View Count (all-time): 427

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Publish Date: 2016 10, Mon

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Total Views: 1.4K

Total Downloads: 95

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