Awavelet based watermarking approach in concatenated square block image for high security

• Autorzy: Sridhar B.

Identyfikatory

DOI

10.14313/JAMRIS_3-2018/20

• Języki publikacji: EN

Abstrakty

EN

Watermarking in digital contents has gained the more attraction in research community. In this approach copyright information is concealed in to the concatenated square region of an image under wavelet domain, initially original image is undergoing an alternative pixel sharing approach and one of the shares undergo the circular column shift further, concatenates those shares. Next, square region is obtained by capturing the half of the row value in the last part of first share and the first part of second share which forms a square image. To enrich the robustness of the technique, watermarking is under consideration only in the folded square under wavelet. Further, the reverse process is carried out to generate the watermarked image. To show ownership, original and watermarked image have undergone the same operation and acquire the copyright information. Experimental results indicate that the proposed approach is robust against image processing attacks.

Słowa kluczowe

EN

authentication; concatenation; copyright; watermarking; wavelet

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2018
• Tom: Vol. 12, No. 3
• Strony: 68--72
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Sridhar B.

• Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, INDIA-500043

Bibliografia

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• [4] B.Sridhar, C. Arun, “An Enhanced Approach in Video Watermarking with Multiple Watermarks Using Wavelet”, Journal of Communications Technology and Electronics, Springer, vol. 61, no. 2, 2016, 165–175.
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• [6] Yiwei Wang, John F. Doherty, Robert E. Van Dyck, “A Wavelet-Based Watermarking Algorithm for Ownership Verification of Digital Image”, IEEE Transactions on Image Processing, vol. 11, no. 2, 2002, 77–88.
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• [8] M.A. Suhail, M.S. Obaidat, “Digital watermarking-based DCT and JPEG model”, IEEE Transaction on Instrumentation and Measurement, vol. 52, no. 5, 2003, 1640–1647.
• [9] Mehdi Khalili, “A Novel Secure, Imperceptible and Robust CDMA Digital Image Watermarking in Jpeg-Ycbcr Channel Using DWT2”, International Journal of Enterprise Computing and Business Systems, vol. 1, no. 2, 2011.
• [10] C.H. Huang, J.L. Wu, “Attacking Visible Watermarking Schemes”, IEEE Transactions on Multimedia, vol. 6, no. 1, 2004, 16–30.
• [11] J. Delaigle, C. de Vleeschouwer, B. Macq, “Psycho visual Approach to Digital Picture Watermarking”, Journal of Electronic Imaging, vol. 7, no. 3, 1998, 628–640.
• [12] Chen Yongqiang, Zhang Yanqing, Peng Lisen, “A Novel Optimal Color Image Watermarking Scheme”, 3rd International Conference on Genetic and Evolutionary Computing, 2009, 121–124.
• [13] Yingkun Hou, Mingxia Liu, Zhengli Zhu, Deyun Yang, “Semisubsampled Wavelet Transform Based Image Watermarking with Strong Robustness to Rotation Attacks”, Journal of Multimedia, vol. 5, no. 4, 2010, 385–392.
• [14] B. Sridhar, C. Arun, “On Secure Multiple Image Watermarking Techniques using DWT”, 3rd International Conference on Computing Communication & Networking Technologies (ICCCNT), 2012, 1–4.
• [15] Pinki Tanwar and Manisha Khurana, “Improved PSNR and NC in Digital Image Watermarking Using RDWT and SVD”, International Journal of Advanced Research in Computer Science and Software Engineering Research, vol. 6, no. 5, 2016, 955–959.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).