The week's pick
Reseach Article
Optimized Perceptual Quality, Robust and Highly Secured Randomly Scrambled Image Watermarking using 3-Level DWT Domain
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 132 - Number 6 |
| Year of Publication: 2015 |
| Authors: Shveti Sejpal, Nikesh Shah |
10.5120/ijca2015907515
|
Shveti Sejpal, Nikesh Shah . Optimized Perceptual Quality, Robust and Highly Secured Randomly Scrambled Image Watermarking using 3-Level DWT Domain. International Journal of Computer Applications. 132, 6 ( December 2015), 30-39. DOI=10.5120/ijca2015907515
Abstract
In networks the content distribution through genuine channels needs the use of digital watermarks. The digital watermark is to make the content self-identifying i.e. to place the information within the content itself. Digital images are the significant vector for network communication. As 2D-image signals are non-stationary signal wavelet transform is more suitable to analyze this signal. This paper presents a blind digital image watermark embedding technique based on random Arnold scrambling i.e. highly secure and its comparative performance analysis based on 3-level Discrete Wavelet Transform (DWT) domain for hiding the watermark information in cover image. It is seen that using 3-level DWT, watermarked image quality is improved compared to 1-level DWT and 2-level DWT. This technique also improves the security of image more effectively. This approach uses two frequency sub-bands HL and HH of DWT to embed watermark image to confirm the human perception characteristics. Here to achieve better robustness, better perceptual quality and efficient security watermark image is first scrambled randomly using Arnold transform and the watermark bits are distributed to the wavelet coefficients of the image edges in HLHHHH & HHHHLH sub-bands. Here for DWT decomposition ‘Haar’ wavelet is used. Here gain factor K=0.55 is selected for testing the performance under several attacks. In 3-level DWT domain good perceptual quality is achieved with PSNR value 41.5848, SSIM value 0.953 and NC value 0.663. The Proposed method is also found more robust by experimenting with different attacks. The experimental results proved that proposed technique i.e. 3-level DWT is faster with compared to 2-level DWT, 1-level DWT.
References
- Matthieu Urvoy. Dalila Goudia, and Florent Autrusseau."Jul. 2014. Perceptual DFT Watermarking With Improved Detection and Robustness to Geometrical Distortions", IEEE Transactions on Information Forensics and Security, Vol. 9, No. 7, pp. 1108-1119.
- Ramani K.; Prasad E.V, Varadarajan S.; Subramanyam A,Dec. 2008."A Robust Watermarking Scheme for Information Hiding", Advanced Computing and Communications, 16th International Conference, 14-17 pp: 58 – 64.
- Raval Mehul, Rege Priti, 2003. “Discrete wavelet transform based multiple watermarking schemes”, Conference on convergent technologies for Asia-pacific region, vol. 3, pp. 935-938
- Munesh Chandra, Shikha Pandey, 2010. “A DWT Domain Visible Watermarking Techniques for Digital Images”, 2010 International Conference on Electronics and Information Engineering.
- Nikita Kashyap, G. R. SINHA, April 2012.“Image Watermarking Using 3-Level Discrete Wavelet Transform (DWT)”, in I.J.Modern Education and Computer Science, 2012, 3, 50-56.
- C. Pradhan, V. Saxena, A. Bisoi, October 2012. “Imperceptible Watermarking Technique using Arnold’s Transform and Cross Chaos Map in DCT Domain”, International Journal of Computer Applications (0975 – 8887) Volume 55– No.15.
- AI-Asmari, A., Salama, A., Iliyasu, A., Al-Qodah, M. 2012. A DWT ordering scheme for hiding data in images using pixel value difference. In: IEEE Eighth Int. Conf. on Computational Intelligence and Security (CIS), pp. 553–557.
- A. Nag, J.P. Singh, S. Khan, S. Biswas, and D. Sarkar, 2011. “Image Encryption Using Affine Transform and XOR Operation”, in Proc. international conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), pp.309-312.
- Zhang Yanqun; Wang Qianping; 2009. “A New Scrambling Method Based on Arnold and Fermat Number Transformation” International conference on Environmental science and information application technology.
- M. Mohammed Sathik and Sujatha S.S, 2010. ”An Improved Invisible Watermarking Technique for Image Authentication”, International Journal of Advanced Science and Technology, Vol-24, Pp-61- 74.
- A. Ravindran, A. Jayaram, Ambily N, B.M. John, October 2014.“Hiding Information in Medical X-ray Images”, International Journal of Advanced Information *Science and Technology (IJAIST), Vol.30, No.30.
- Poulami Ghosh, Rilok Ghosh, Souptik Sinha, Aruna Chakroborty 2012. “A Novel Digital Watermarking Technique for Video Copyright Protection” CS & IT 06, pp. 601–609.
- S. Hore, T. Bhattacharya, S. R. Bhadra Chaudhuri December 2013. “A Robust Medical Image Authentication Technique using QR Code and DWT” International Journal of Computer Applications (0975 – 8887) Volume 83 – No.16.
- Min Li, Ting Liang, Yu-jie He 2013. “Arnold Transform Based Image Scrambling Method” 3rd International Conference on Multimedia Technology.
- Zhou Wang and Alan C. Bovik JANUARY 2009 “Mean Squared Error: Love It or Leave It? [A new look at signal fidelity measure]” IEEE SIGNAL PROCESSING MAGAZINE vol. 26, no. 1, pp. 98-117.
Index Terms
Keywords