Optimization of Watermarking in Image by Using Particle Swarm Optimization Algorithm

The current digital era is trending with a secure and advances optimized watermarking schemes for digital images. For optimization of the result that has been obtained by applying the DCT-DWT on the original image is being accomplished by Particle Swarm Optimization (PSO). In this paper, the watermark is inserted in the DWT-DCT coefficients, where the value of the coefficients is larger than some specific value. The embedding of the watermark is in the region with low-frequency coefficients. This paper mainly focuses on DCT-DWT but SVD is also tried on the image watermarking. The PSO is first compared with proposed modified inertia weight-based PSO on standard test function and its effectiveness is proposed. Later, to check the undetectability and to gain the optimized result modified PSO is applied in the image watermarking process. It is also checked that it is robust or not by applying some attacks on the image. Simulation results show that there is a marginal difference between the original and watermarked image. The Optimization technique is successfully implemented to achieve an optimal watermarking solution.

[1]  Mariko Nakano-Miyatake,et al.  Visible Watermarking Assessment Metrics Based on Just Noticeable Distortion , 2018, IEEE Access.

[2]  Hamidreza Sadreazami,et al.  A Robust Image Watermarking Scheme Using Local Statistical Distribution in the Contourlet Domain , 2019, IEEE Transactions on Circuits and Systems II: Express Briefs.

[3]  Bhupendra Verma,et al.  Digital image watermarking and its optimization using genetic algorithm , 2016, 2016 International Conference on Computing, Communication and Automation (ICCCA).

[4]  Li Sukang,et al.  A Digital Watermarking Algorithm Based On DCT and DWT , 2009 .

[5]  Rekha Gupta,et al.  Digital Image Watermarking by Using Discrete Wavelet Transform and Discrete Cosine Transform and Comparison Based on PSNR , 2011, 2011 International Conference on Communication Systems and Network Technologies.

[6]  Irene G. Karybali,et al.  Optimization and Hardware Implementation of Image and Video Watermarking for Low-Cost Applications , 2019, IEEE Transactions on Circuits and Systems I: Regular Papers.

[7]  Falgun Thakkar,et al.  DWT-SVD based digital image watermarking using swarm intelligence , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[8]  Héctor M. Pérez Meana,et al.  Improved imperceptible visible watermarking algorithm for auxiliary information delivery , 2018, IET Biom..

[9]  P. Rajesh Kumar,et al.  A modified blind image watermarking scheme based on DWT, DCT and SVD domain using GA to optimize robustness , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[10]  Mihir Sing,et al.  Video watermarking based on Cuckoo search and scene change detection , 2017, 2017 International Conference on Intelligent Sustainable Systems (ICISS).

[11]  Hang Zhou,et al.  Screen-Shooting Resilient Watermarking , 2019, IEEE Transactions on Information Forensics and Security.

[12]  Garima Mehta,et al.  PSO and GA parameters estimation for digital watermarking algorithm , 2016, 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).

[13]  Bin Feng,et al.  A Reversible Watermark With a New Overflow Solution , 2019, IEEE Access.

[14]  G. R. Sinha,et al.  Image Watermarking Using 3-Level Discrete Wavelet Transform (DWT) , 2012 .

[15]  M. Omair Ahmad,et al.  A Channel-Dependent Statistical Watermark Detector for Color Images , 2019, IEEE Transactions on Multimedia.

[16]  Duqu Wei,et al.  An Optimized Image Watermarking Method Based on HD and SVD in DWT Domain , 2019, IEEE Access.

[17]  Jing Li,et al.  Robust Image Watermarking Based on Two-Layer Visual Saliency-Induced JND Profile , 2019, IEEE Access.

[18]  Rajat Subhra Chakraborty,et al.  Toward Optimal Prediction Error Expansion-Based Reversible Image Watermarking , 2020, IEEE Transactions on Circuits and Systems for Video Technology.

[19]  Haijian Zhang,et al.  Random Matching Pursuit for Image Watermarking , 2019, IEEE Transactions on Circuits and Systems for Video Technology.

[20]  Ioannis Pitas,et al.  Image watermarking using DCT domain constraints , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[21]  W. C. Chu,et al.  DCT-based image watermarking using subsampling , 2003, IEEE Trans. Multim..

[22]  Huimin Wu,et al.  Robust Algorithm of Digital Image Watermarking Based on Discrete Wavelet Transform , 2008, 2008 International Symposium on Electronic Commerce and Security.

[23]  A. Murat Tekalp,et al.  Lossless watermarking for image authentication: a new framework and an implementation , 2006, IEEE Transactions on Image Processing.

[24]  B L Gunjal,et al.  Discrete Wavelet Transform Based Strongly Robust Watermarking Scheme for Information Hiding in Digital Images , 2010, 2010 3rd International Conference on Emerging Trends in Engineering and Technology.

[25]  Fernando Pérez-González,et al.  DCT-domain watermarking techniques for still images: detector performance analysis and a new structure , 2000, IEEE Trans. Image Process..

[26]  Kejiang Chen,et al.  Reversible Data Hiding in Color Image With Grayscale Invariance , 2019, IEEE Transactions on Circuits and Systems for Video Technology.

[27]  A. Vincent Antony Kumar,et al.  Copyright Protection using Digital Watermarking , 2012 .

[28]  Kenli Li,et al.  Parallel Multi-Core CPU and GPU for Fast and Robust Medical Image Watermarking , 2018, IEEE Access.