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

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Md.Rishad Ahmed
Md.Rishad Ahmed
σ
Md.Maklachur Rahman
Md.Maklachur Rahman
ρ
Md.Shale Ahammed
Md.Shale Ahammed
Ѡ
Mohammed Navid Izhar
Mohammed Navid Izhar
α First Capital University of Bangladesh

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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.

References

15 Cites in Article
  1. G Leena,S Dhayanithy (2013). Robust Image Watermarking in Frequency Domain.
  2. M Kaur,S Jindal,S Behal (2009). A Robust Blind Image Watermarking Scheme in Spatial Domain for Copyright Protection.
  3. Ali Al-Haj (2007). Combined DWT-DCT Digital Image Watermarking.
  4. F Huang,Z Guan (2004). A hybrid SVD-DCT watermarking method based on LPSNR.
  5. E Ganicand,A Eskicioglu (2004). Robust DWT-SVD Domain Image Watermarking: Embedding Data in All Frequencies.
  6. R Liu,T Tan (2002). A SVD-Based Watermarking Scheme for Protecting Rightful Ownership.
  7. D Chandra (2002). Digital image watermarking using singular value decomposition.
  8. Mauro Barni,Franco Bartolini,Vito Cappellini,Alessandro Piva (1998). A DCT-domain system for robust image watermarking.
  9. Z Zhou,B Tang,X Liu (2006). A Block-SVD Based Image Watermarking Method.
  10. S Mukherjee,A (2012). A DCT-SVD based Robust Watermarking Scheme for Grayscale Image.
  11. Esam Hagras,El Mahallawy,Zein Eldin,Fakhr (2011). Robust Secure and Blind Watermarking Based on DWT DCT Partial Multi Map Chaotic Encryption.
  12. N Nikolaidis,I Pitas (1998). Robust Image Watermarking in the Spatial Domain.
  13. Y Wang,J Doherty,R Van Dyck (2002). A wavelet-based watermarking algorithm for ownership verification of digital images.
  14. Y Wu (2005). On the Security of an SVD based Ownership watermarking.
  15. A Sverdlov,S Dexter,A Eskicioglu (2005). Robust DCT-SVD Domain Image Watermarking for Copyright Protection: Embedding Data in All Frequencies.

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.Rishad Ahmed. 2017. \u201cA Semi Blind Watermarking Technique for Copyright Protection of Image Based on DCT and SVD Domain\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 16 (GJRE Volume 16 Issue F7): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-F Classification: FOR Code: 090699
Version of record

v1.2

Issue date

January 2, 2017

Language
en
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Published Article

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.

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

Md.Maklachur Rahman
Md.Maklachur Rahman
Md.Shale Ahammed
Md.Shale Ahammed
Md.Rishad Ahmed
Md.Rishad Ahmed First Capital University of Bangladesh
Mohammed Navid Izhar
Mohammed Navid Izhar

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