Home   >   CSC-OpenAccess Library   >    Manuscript Information
Robust Digital Image Watermarking Technique in DWT domain based on HVS and BPNN
Jagadeesh Bandi, P. Rajesh Kumar, P. Chenna Reddy
Pages - 272 - 282     |    Revised - 31-08-2015     |    Published - 30-09-2015
Volume - 9   Issue - 5    |    Publication Date - September / October 2015  Table of Contents
MORE INFORMATION
KEYWORDS
Image Watermarking, Discrete Wavelet Transform, Human Visual System, Back Propagation Neural Networks, Imperceptible, Robust.
ABSTRACT
Most of the data distribution or redistribution occurs on the internet either by means of images, documents, videos, etc. But to claim the ownership and copy right protection, some extra information which cannot be removed by intruders is necessary to provide security. Such a security is provided by Watermarking. In this paper, a robust Digital Image watermarking algorithm is projected in Discrete Wavelet Transform domain using back propagation neural networks and Human Visual System Parameters like Luminous sensitivity and Texture sensitivity. Neural Networks are used in embedding and extracting the watermark. The proposed method is more protected and robust to several attacks like: Resizing, Median filtering, Row-Column copying, Low pass filtering, JPEG Compression, Rotation, Salt and Pepper Noise, Cropping, Bit Plane Removal, Blurring, Row-Column blanking, Intensity Transformation, etc. Outstanding experimental outcomes were perceived with the suggested method over a method proposed by Qiao Baoming et al. in terms of Peak Signal to Noise Ratio (PSNR) and Normalized Cross Correlation (NCC).
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
Asmaa Qasim Shareef, and Roaa Essam Fadel. “An Approach of an Image Watermarking Scheme using Neural Network” International Journal of Computer Applications, Volume 92 – No.1, pp. 44-48, April 2014.
C.I.Podilchuk and E.J.Delp. “Digital Watermarking: Algorithms and Applications”, IEEE Signal Processing Magazine, pp.33-46, July 2001.
Chin-Chen Chang, Yih-Shin Hu, Tzu-Chuen Lu. “A watermarking-based image ownership and tampering authentication scheme”, Pattern Recognition Letters, pp. 439-446, (27), 2006.
Cox, IJ, Miller, ML & Bloom, JA. Digital Watermarking. San Francisco, CA, USA: Morgan Kaufmann Publisher, 2002.
F. H. Wang, J. S. Pan, and L. C. Jain. “Digital Watermarking Techniques”, In Innovations in Digital Watermarking Techniques, Berlin, Heidelberg: Springer-Verlag, pp. 11-26, 2009.
Fotopoulos V., and Skodras A.N. “ Digital image watermarking: An overview”, invited paper, EURASIP Newsletter, ISSN 1687-1421, Vol. 14, No. 4, pp. 10-19, 2003.
Maryam Karimi, Majid M., Azizi S., and Samavi S. “Transparent watermarking based on psychovisual properties using neural networks”, Proceedings of the Iranian Conference on Machine Vision and Image Processing (MVIP), Zanjan, September, 2013, pp. 33-37.
Mohamad Vafaei, Homayoun, and Mahdavi-Nasab. “A Novel Digital Watermarking Scheme Using Neural Networks with Tamper Detection Capability”, Journal of Basic and Applied Scientific Research, Vol. 3(4), pp. 577-587, 2013.
N Nikolaidis, I Pitas. “Robust image watermarking in the spatial domain”, Signal Process. 66 (3); pp.385 403, 1998.
N. Mohananthini, and G. Yamuna. “ Watermarking for Images using Wavelet Domain in Backpropagation Neural Network”, Proceedings of the IEEE -International Conference on Advances in Engineering, Science and Management (ICAESM -2012), Nagapattnam, Tamil Nadu, March 2012, pp. 100-105.
Nader H. H. Aldeeb, Ibrahim S. I. Abuhaiba. “An Improved Watermarking Scheme for Tiny Tamper Detection of Color Images”, I.J. Image, Graphics and Signal Processing, 5, pp. 1-14, 2013.
R.Liu, T.Tan. “An SVD-based watermarking scheme for protecting rightful ownership”, IEEE Transactions on Multimedia, vol.4, no.1, pp. 121-128, 2002.
Sameh Oueslati, Adnene Cherif, and Bassel Solaimane. “Adaptive Image Watermarking Scheme Based on Neural Network”, International Journal of Engineering Science and Technology (IJEST), Vol. 3, No. 1, January, pp. 748-756, 2011.
Song Huang, and Wei Zhang. “Digital Watermarking Based on Neural Network and Image Features”, Proceedings of the IEEE Second International Conference on Information and Computing Science, Manchester, 2009, pp. 238-240.
Song Huang, Wei Zhang, Wei Feng, and Huaqian Yang, “Blind Watermarking Scheme Based on Neural Network”, Proceedings of the 7th World Congress on Intelligent Control and Automation, Chongqing, China, June, 2008, pp.5985-5989.
W.C.Chu. “DCT based image watermarking using sub sampling,” IEEE Trans Multimedia 5, 34-38, 2003.
Xuelong Hu, Xu Lian, Lin Chen, and Yongai Zheng, “Robust Blind Watermark Algorithm of Color Image Based on Neural Network”, Proceedings of the IEEE International Conference Neural Networks & Signal Processing, Zhenjiang, China, June, 2008, pp.430-433.
Y. Wang, R.E.Van Dyck and J.F.Doherty. “A wavelet based watermarking algorithm for ownership verification of digital images”, IEEE Transactions on Image Processing, Volume 11, No.2, pp.77-88, February 2002.
Yonghong Chen, and Jiancong Chen. “A Novel Blind Watermarking Scheme Based on Neural Networks for Image”, Proceedings of the IEEE International Conference on Information Theory and Information Security (ICITIS), Beijing, 2010, pp. 548-552.
[16] Qiao Baoming, Zhang Pulin, and Kang Qiao. “A Digital Watermarking Algorithm Based on Wavelet Packet Transform and BP Neural Network”, Proceedings of the IEEE International Conference on Computational Intelligence and Security, Hainan, 2011, pp. 503-507.
Mr. Jagadeesh Bandi
G.V.P.College of Engineering - India
bjagadeesh76@yahoo.com
Dr. P. Rajesh Kumar
Andhra University - India
Dr. P. Chenna Reddy
JNTUA College of Engineering, Pulivendula - India


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS