An Enhanced Digital Image Watermarking Scheme for Medical Images using Neural Network, DWT and RSA
Автор: Sujata Nagpal, Shashi Bhushan, Manish Mahajan
Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs
Статья в выпуске: 4 vol.8, 2016 года.
Бесплатный доступ
Image watermarking is the process of the hiding the one image into other image for the copyright protection. The process of watermarking must be done in this way that the pixels of the original image must remain in its original HD form. A lot of work has been done in this context in previous years but some techniques have their own applications, drawbacks as well as advantages. So, this paper will utilize three techniques i.e. Discreet Wavelet Transform (DWT), Neural Network (NN) and RSA encryption for image watermarking. In the end the performance of the proposed technique will be measured on the basis of PSNR, MSE, BCR, BER and NCC in MATLAB R2010a environment.
Digital Image watermarking, DWT, Neural Network, Encryption, RSA
Короткий адрес: https://sciup.org/15014857
IDR: 15014857
Список литературы An Enhanced Digital Image Watermarking Scheme for Medical Images using Neural Network, DWT and RSA
- David J. Coumou, and Athimoottil Mathew, "A Fuzzy Logic Approach to Digital Image Watermarking", Rochester Institute of technology, Sept 2014.
- G. Bhatnagar and R. Balasubramanian, "A New Robust Reference Watermarking Scheme Based on DWT-SVD", Computer Standards & Interfaces vol. 31, issue 5, Sept 2009, pp. 1002-1013, doi:10.1016/j.csi.2008.09.031.
- J.L. Liu, D.C. Lou, M.C. Chang, H.K. Tso, "A Robust Watermarking Scheme Using Self-Reference Image", Computer standards and interfaces, vol. 28, issue 3, Jan 2006, pp. 356-367, doi:10.1016/j.csi.2005.07.001.
- V. Gupta, A. Barve, "A Review on Image Watermarking and Its Techniques", International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), vol. 4, issue 1, January 2014, pp. 92-97.
- M. Kaur and V. K. Attri, "A Survey on Digital Image Watermarking and Its Techniques" International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 8, no. 5, Sept 2015, pp. 145-150.
- N. Divecha and N. N. Jani, "Implementation and Performance Analysis of DCT-DWT-SVD Based Watermarking Algorithms for Color Images", International Conference on Intelligent Systems and Signal Processing (ISSP), March 2013, pp.204-208, doi:10.1109/ISSP.2013.6526903.
- Z. Yuefeng and L. Li, "Digital Image Watermarking Algorithms Based On Dual Transform Domain and Self-Recovery" International Journal On Smart Sensing And Intelligent Systems, vol. 8, no. 1, March 2015, pp. 199-219.
- R. Verma and J. Ali, "A Comparative Study of Various Types of Image Noise and Efficient Noise Removal Techniques," International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), vol. 3, issue 10, October 2013.
- B. Wang, J. Ding, Q. Wen, X. Liao and C. Liu, "An Image Watermarking Algorithm Based On DWT, DCT And SVD", IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC, Nov. 2009, pp.1034-1038, doi:10.1109/ICNIDC.2009.5360866.
- C. C. Lai and C. C. Tsai, "Digital Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition", IEEE Transactions on Instrumentation and Measurement, vol. 59, issue 11, Nov. 2010, pp. 3060 – 3063, doi:10.1109/TIM.2010.2066770.
- Y. K. Jain and S. Tiwari, "An Enhanced Digital Watermarking for Color Image using Support Vector Machine" International Journal of Computer Science and Information Technologies (IJCSIT), vol. 2, no. 5, 2011, pp. 2233 – 2236.
- P. Saxena, S. Garg and A. Srivastava, "DWT-SVD Semi-Blind Image Watermarking Using High Frequency Band", 2nd International Conference on Computer Science and Information Technology (ICCSIT), April 2012, pp. 28-29.
- S. R. Anjum and P. Verma, "Performance Evaluation of DWT Based Image Watermarking Using Error Correcting Codes", International Journal of Advanced Computer Research, vol. 2, no. 4, Dec. 2012, pp.151-156.
- R. Kaur, and S. Jindal, "Semi-Blind Image Watermarking Using High Frequency Band Based on DWT-SVD", 6th International Conference on Emerging Trends in Engineering and Technology (ICETET), Dec. 2013, pp.19-24, doi:10.1109/ICETET.2013.5.
- T. Sridevi and S. S. Fatima, "Digital Image Watermarking using Fuzzy Logic approach based on DWT and SVD" International Journal of Computer Applications, vol. 74, no.13, July 2013, pp. 16-20.
- S. Koley, K. Pal, G. Ghosh and M. Bhattacharya, "Secure Transmission and Recovery of Embedded Patient Information from Biomedical Images of Different Modalities through a Combination of Cryptography and Watermarking" International Journal of Image, Graphics and Signal Processing, March 2014, pp. 18-31, doi: 10.5815/ijigsp.2014.04.03.
- N. Solanki and S. K. Malik, "ROI Based Medical Image Watermarking with Zero Distortion and Enhanced Security" International Journal of Modern Education and Computer Science, October 2014, pp. 40-48, doi:10.5815/ijmecs.2014.10.06.
- Anita and Arachana, "Discrete Wavelet Transform Technique for Digital Image Watermarking: A Review" International Journal of Advanced Research in Computer Science and Software Engineering, vol. 5, issue 7, July 2015, pp. 495-498.
- Sridhar, S., "A Comprehensive Approach to Image Watermarking, Encryption and Steganography" Canadian Center of Science and Education, vol. 8, no. 4, November 2015, pp. 32-39, doi: 10.5539/cis.v8n4p32.
- N. Venkatram, L.S.S. Reddy, P.V.V. Kishore and CH. Shavya, "RSA-DWT Based Medical Image Watermarking for Telemedicine Applications" Journal of Theoretical and Applied Information Technology (JATIT), vol. 65, no. 3, July 2014, pp. 801-812.
- B.L. Gunjal and S.N. Mali, "ROI Based Embedded Watermarking of Medical Images for Secured Communication in Telemedicine" International Journal of Computer, Electrical, Automation, Control and Information Engineering, vol. 6, no.8, 2012, pp. 997-1002.
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