Robust and Blind Multiple Image Watermarking Using CNN and DWT in Video


  • Farha Khan M.Tech. Scholar, Department of Electronics and Communication, All Saints’ College of Technology, Gandhi Nagar Bhopal, India
  • M. Sarwar Raeen Professor, Department of Electronics and Communication, All Saints’ College of Technology, Gandhi Nagar Bhopal, India



Digital Watermarking, Spatial Domain, Transform Domain, DWT, DCT, CNN.


Digital watermarking was introduced as a result of rapid advancement of networked multimedia systems. It had been developed to enforce copyright technologies for cover of copyright possession. Due to increase in growth of internet users of networks are increasing rapidly. It has been concluded that to minimize distortions and to increase capacity, techniques in frequency domain must be combined with another technique which has high capacity and strong robustness against different types of attacks. In this paper, a robust multiple watermarking which combine Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT)and Convolution Neural Network techniques on selected middle band of the video frames is used. This methodology is considered to be robust blind watermarking because it successfully fulfills the requirement of imperceptibility and provides high robustness against a number of image-processing attacks such as Mean filtering, Median filtering, Gaussian noise, salt and pepper noise, poison noise and rotation attack. The proposed method embeds watermark by decomposing the host image. Convolution neural network calculates the weight factor for each wavelet coefficient. The watermark bits are added to the selected coefficients without any perceptual degradation for host image. The simulation is performed on MATLAB platform. The result analysis is evaluated on PSNR and MSE which is used to define robustness of the watermark that means that the watermark will not be destroyed after intentional or involuntary attacks and can still be used for certification. The analysis of the results was made with different types of attacks concluded that the proposed technique is approximately 14% efficient as compared to existing work.


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[1] Jantana Panyavaraporn, Paramate Horkaew, “DWT/DCT-based Invisible Digital Watermarking Scheme for Video Stream”, IEEE, 2018, pp. 154-157.
[2] Ali, M., Ahn, C.W., Pant, M., “An image watermarking scheme in wavelet domain with optimized compensation of singular value decomposition via artificial bee colony”, Information Sciences., Vol. 301, pp. 44–60, 2015.
[3] Makbol, Khoo, Rassem, “Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics”, IET Image Processing, vol. 10, pp. 34–52, 2016.
[4] O. FindIk, I.Babaoglu, E.Ülker, “A color image watermarking scheme based on artificial immune recognition system”, Expert System Application, vol. 38, pp. 1942–1946, 2011.
[5] E. Vahedi, R.A. Zoroofi, M. Shiva, “Toward a new wavelet-based watermarking approach for color images using bio-inspired optimization principles’, Digital Signal Processing, Vol. 22, pp. 153–162, 2012.
[6] Chou, C.H., Wu, “‘Embedding color watermarks in color images”, EURASIP Journal on Advances in Signal Processing., pp. 32–40, 2003.
[7] Lai, C.C., “An improved SVD-based watermarking scheme using human visual characteristics”, Optic Communication., Vol. 284, pp. 938–944, 2011.
[8] Golea, N.E.H., Seghir, R., Benzid, R., “A blind RGB color image watermarking based on singular value decomposition”, IEEE, pp. 1–5, 2010.
[9] Charles Way Hun Fung, Walter Godoy Jr., “A New Approach of DWT-SVD Video Watermarking”, IEEE, 2011.
[10] Divjot Kaur Thind, Sonika Jindal, “A Semi Blind DWT-SVD Video Watermarking”, Procedia Computer Science, Vol. 46, pp. 1661-1667, 2015.
[11] Aparna J R, Sonal Ayyappan, “Image Watermarking using Diffie Hellman Key Exchange Algorithm”, International Conference on Information and Communication Technologies, 2014.
[12] Adamu Muhammad Buhari, Huo-Chong Ling, Vishnu Monn Baskaran, KokSheik Wong, “Fast Watermarking Scheme for Real-time Spatial Scalable Video Coding”, Image Communication, 2016.




How to Cite

Khan, F., & Raeen, M. S. (2020). Robust and Blind Multiple Image Watermarking Using CNN and DWT in Video. SMART MOVES JOURNAL IJOSCIENCE, 6(3), 8–13.