Multiple Watermarking for Images using Back-Propagation Neural Network and DWT
C. Ananth1, M. Karthikeyan2, N. Mohananthini3, S. Saravanan4, M. Swathisriranjan5
1C. Ananth*, Division of Computer and Information Science, Annamalai University, Annamalainagar, India.
2M. Karthikeyan, Division of Computer and Information Science, Annamalai University, Annamalainagar, India.
3N. Mohananthini, Department of Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, India.
4S. Saravanan, Department of Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, India.
5M. Swathisriranjani, Department of Electrical and Electronics Engineering, Muthayammal Engineering College, Rasipuram, India.
Manuscript received on September 13, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 4088-4093 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1327109119/2019©BEIESP | DOI: 10.35940/ijeat.A1327.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An effective multiple watermarking technique supported on neural network into the wavelet transform can be proposed. The wavelet coefficients has been preferred by Human Visual System. In the proposed work focus on Discrete Wavelet Transform based segmented image watermarking techniques using Back-Propagation neural networks. Using improved BPNN, the multiple watermarks are embedded into the original image, which can advance the pace of the learn, reduce the error and the qualified neural networks are extricate multiple watermarks as of the embedded images. The planned strategy achieves a excellent visual effect scheduled the watermarked images as well as high robustness on extracted multiple watermarks.
Keywords: Digital Watermarking, Discrete Wavelet Transform, Back Propagation Neural Network, Segmented Watermarking Technique and Human Visual System.