Three Dimensional Discrete Wavelet Transform Based Robust Multiple Watermarking Algorithm for Spectral Images

Dr. S.Maheswari; K.Rameshwaran

Three Dimensional Discrete Wavelet Transform Based Robust Multiple Watermarking Algorithm for Spectral Images

Dr. S.Maheswari * §

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K.Rameshwaran

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§ Kongu Engineering College

Three Dimensional Discrete Wavelet Transform Based Robust Multiple Watermarking Algorithm for Spectral Images

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Abstract

Three Dimensional (3-D) imaging is a fast growing technology in the areas of computer graphics, robotics, metrology, medicine and cultural heritage etc. With the development of internet, 3-D contents are easily manipulated, transmitted and widely distributed. Watermarking has been proved to be an efficient technology in copyright protection of multimedia information. In this paper, a novel blind multiple watermarking algorithm for copyright protection of spectral images is presented. Watermarking is based on 3-D Discrete Wavelet Transform (DWT). Dual binary watermarks are proposed to embed in the mid frequency bands of cover image. One level 3-D DWT is applied to the original spectral image and one level 2-D DWT is applied on two binary watermarks. Eigen values of selected subbands of spectral image are modified by the eigen values of selected subbands of two binary watermarks. Inverse SVD (Singular Value Decomposition) and Inverse 3-D DWT is taken on the modified subbands to obtain the watermarked image. During extraction process, two binary watermarks are recovered from the test image with the help of a secret key. An experimental result shows that, the proposed algorithm produces very high imperceptibility and robustness against various types of attacks like low pass filtering, median Filtering, JPEG compression, histogram equalization, cropping, various angles of rotation and addition of noise like Gaussian, Salt &Pepper, Speckle, Poisson etc.

References

15 Cites in Article

Reference Format

1. Long Ma,Changjun Li,Shuni Song (2006). Digital Watermarking of Spectral Images Using DWT-SVD. 2006 International Conference on Communications, Circuits and Systems, 1, 15-18.
2. Somsakchoomchuay Chirawattemi,Attasitlasakul (2005). A Robust Image Watermarking Using Multiresolution Analysis of Wavelet. Proc.of International symposium on communication and information technologies, 2, 623-662.
3. S Ravalmehul (2003). Discrete Wavelet Transform Based Multiple Watermarking Scheme. proc. IEEE Conference on Convergent Technologies for Asia-Pacific Region, 3, 935-938.
4. Xiaoyuan Yang,Yijie Keniu,Wei Wu,Zhang (2006). Robust Watermarking for Video Based on Quasi-3D DWT/DCT. Proc. of The IET International Conference on Wireless Mobile and Multimedia Networks (ICWMMN 2006), 1-4.
5. Yonggang Fu (2009). Robust image watermarking scheme based on 3D-DCT. Proc. of Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 437-444.
6. Nuoechen Hongmeiliee,Hwang (2003). A 3D Wavelet Video Watermarking. IEEE Trans. on Image Processing, 32, 208-212.
7. Dan Dumitru,Liana Burdescu,Anca Stanescu,Razvantanasie Ion (2008). A New 3d Watermarking Algorithm. Proc.of IEEE Technical Conference (TENCON 2009), 381.
8. Gaurav Bhatnagar,Balasubramanian Raman (2009). A new robust reference watermarking scheme based DWT-SVD. Computer Standards and Interfaces, 31(5), 1002-1013.
9. Ce Wang,Chao Zhang,Pengweihao (2010). A Blind Video Watermark Detection Method Based on 3D-DWT Transform. Proc.of IEEE 17 th International Conference on Image Processing, 3693-3696.
10. Ben Saoussen,Ezzeddinezagrouba Jabra (2008). A New Approach of 3D Watermarking Based on Image Segmentation. Proc. of IEEE symposium on Computers and Communications, 994-999.
11. Stéphane Mallat (1999). Wavelet zoom. A Wavelet Tour of Signal Processing, 163-219.
12. Evelyn Brannock,Michael Weeks,Robert Harrison (2009). The Effect of Wavelet Families on Watermarking. Journal of Computers, 4(6), 554-566.
13. S Nascimento,F Ferreira,D Foster (2002). Statistics of spatial cone-excitation ratios in natural scenes. Journal of the Optical Society of America A, 19, 1484-1490.
14. Arto Kaarna,Pekka Toivanen (2003). Digital watermarking of spectral images in PCA/wavelet-transform domain. IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 6, 3564-3567.
15. Long Ma,Changjun Li,Shuni Song Digital watermarking of spectral images using SVD in PCAtransform domain. proc. of IEEE International

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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

Dr. S.Maheswari, K.Rameshwaran. 2011. "Three Dimensional Discrete Wavelet Transform Based Robust Multiple Watermarking Algorithm for Spectral Images". Global Journal of Research in Engineering - I: Numerical Methods GJRE-I Volume 11 (GJRE Volume 11 Issue I7).

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GJRE Volume 11 Issue I7

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

3-D DWT DWT SVD and Multiple Watermarking

Classification

GJRE-I Classification FOR Code: 010399

Submission ReceivedOctober 27, 2011
Peer Review Double Blind
Handling Editor
Accepted November 22, 2011
Published December 6, 2011

Version of record

v1.2

Issue date

December 28, 2011

Language

English

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Research in Engineering

Authors: Dr. S.Maheswari, K.Rameshwaran (PhD/Dr. count: 1)

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Publish Date: 2011 12, Tue

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Total Views: 2K

Total Downloads: 171

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