An optimized robust watermarking technique using CKGSA in frequency domain

Abstract The existing SVD based watermarking techniques insert watermark into the singular component which causes the false positive problem (FPP). To overcome this problem, a robust watermarking technique using a chaotic kbest gravitational search algorithm (CKGSA) in DCT and SVD domain is proposed. To eliminate the FPP, the watermark is embedded into the principal component (PC) of the cover image rather than the singular value. The objective to use CKGSA is to optimize the value of multiple embedding factors so that robustness and imperceptibility can be balanced. Arnold transform (AT) is applied to the watermark image before embedding, to enhance security and robustness. The performance of the proposed technique has been experimented on a standard dataset and compared with the six recent state-of-the-art techniques including DS-DE, DS-PSO, DCT-SVD, DDS-PSO, DS-GSA, and DS-TLBO in terms of imperceptibility (PSNR, SSIM) and robustness (PSNR, NC). The experimental results demonstrate that the proposed technique outperforms the other existing techniques.

[1]  Raju Pal,et al.  Chaotic Kbest gravitational search algorithm (CKGSA) , 2016, 2016 Ninth International Conference on Contemporary Computing (IC3).

[2]  Lalit M. Patnaik,et al.  Genetic algorithms: a survey , 1994, Computer.

[3]  Amit Kumar Singh,et al.  A proposed secure multiple watermarking technique based on DWT, DCT and SVD for application in medicine , 2018, Multimedia Tools and Applications.

[4]  Millie Pant,et al.  A robust image watermarking technique using SVD and differential evolution in DCT domain , 2014 .

[5]  Michael G. Strintzis,et al.  Locally optimum nonlinearities for DCT watermark detection , 2004, IEEE Transactions on Image Processing.

[6]  Amit Kumar Singh,et al.  SVD-DCT Based Medical Image Watermarking in NSCT Domain , 2018 .

[7]  Fardin Akhlaghian Tab,et al.  A highly robust and secure image watermarking based on classification and visual cryptography , 2019, J. Inf. Secur. Appl..

[8]  R. Venkata Rao,et al.  Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems , 2012, Inf. Sci..

[9]  Gaurav Bhatnagar,et al.  A new robust watermarking system in integer DCT domain , 2018, J. Vis. Commun. Image Represent..

[10]  Himanshu Mittal,et al.  An automatic nuclei segmentation method using intelligent gravitational search algorithm based superpixel clustering , 2019, Swarm Evol. Comput..

[11]  Himanshu Mittal,et al.  cKGSA Based Fuzzy Clustering Method for Image Segmentation of RGB-D Images , 2018, 2018 Eleventh International Conference on Contemporary Computing (IC3).

[12]  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.

[13]  Tetsuya Shimamura,et al.  Blind SVD-based audio watermarking using entropy and log-polar transformation , 2015, J. Inf. Secur. Appl..

[14]  Deven N. Trivedi,et al.  Hybrid and blind watermarking scheme in DCuT - RDWT domain , 2019, J. Inf. Secur. Appl..

[15]  Ali Safa Sadiq,et al.  An Improved Imperceptibility and Robustness of 4x4 DCT-SVD Image Watermarking with a Modified Entropy , 2017 .

[16]  Raju Pal,et al.  Data clustering using enhanced biogeography-based optimization , 2017, 2017 Tenth International Conference on Contemporary Computing (IC3).

[17]  Der-Chyuan Lou,et al.  A semi-blind digital watermarking scheme based on singular value decomposition , 2006, Comput. Stand. Interfaces.

[18]  Navdeep Goel,et al.  Optimised blind image watermarking method based on firefly algorithm in DWT-QR transform domain , 2017, IET Image Process..

[19]  Yen-Shou Lai,et al.  An SVD-based image watermarking in wavelet domain using SVR and PSO , 2012, Appl. Soft Comput..

[20]  Gadadhar Sahoo,et al.  A Review on Gravitational Search Algorithm and its Applications to Data Clustering & Classification , 2014 .

[21]  Feng Liu,et al.  A Watermarking Algorithm for Digital Image Based on DCT and SVD , 2008, 2008 Congress on Image and Signal Processing.

[22]  Durgesh Singh,et al.  DWT-SVD and DCT based robust and blind watermarking scheme for copyright protection , 2017, Multimedia Tools and Applications.

[23]  Gholamhossein Ekbatanifard,et al.  A new DCT-based robust image watermarking method using teaching-learning-Based optimization , 2019, J. Inf. Secur. Appl..

[24]  Hyderabad,et al.  A Novel Image Watermarking Scheme Based on Wavelet Transform and Genetic Algorithm , 2018, International Journal of Intelligent Engineering and Systems.

[25]  Nasrin M. Makbol,et al.  Robust blind image watermarking scheme based on Redundant Discrete Wavelet Transform and Singular Value Decomposition , 2013 .

[26]  Khumanthem Manglem Singh,et al.  Red-cyan anaglyph image watermarking using DWT, Hadamard transform and singular value decomposition for copyright protection , 2020, J. Inf. Secur. Appl..

[27]  Khaled Loukhaoukha,et al.  Hybrid secure and robust image watermarking scheme based on SVD and sharp frequency localized contourlet transform , 2019, J. Inf. Secur. Appl..

[28]  Manoj Misra,et al.  A secure image sharing scheme based on SVD and Fractional Fourier Transform , 2017, Signal Process. Image Commun..

[29]  Muhammad Nazeer,et al.  Digital image watermarking using partial pivoting lower and upper triangular decomposition into the wavelet domain , 2015, IET Image Process..

[30]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[31]  Lei Fu,et al.  Image authentication scheme based on reversible fragile watermarking with two images , 2018, J. Inf. Secur. Appl..

[32]  Mahendra Kumar,et al.  Robust Digital Image Watermarking based on Evolutionary Optimization Technique , 2016 .

[33]  Shih-Chieh Shie,et al.  Improving the robustness of DCT-based image watermarking against JPEG compression , 2005, 2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE..

[34]  Lina Zhang,et al.  Dual DCT-DWT-SVD digital watermarking algorithm based on particle swarm optimization , 2019, Multimedia Tools and Applications.

[35]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[36]  Shivananda Nirmala,et al.  An efficient and secure robust watermarking scheme for document images using Integer wavelets and block coding of binary watermarks , 2015, J. Inf. Secur. Appl..

[37]  Vikas Chaudhary,et al.  PSNR and Robustness Comparison Between DCT and SVD Based Digital Image Watermarking Against Different Noise and Attacks , 2018 .

[38]  A. Ben Hamza,et al.  Image watermarking scheme using nonnegative matrix factorization and wavelet transform , 2009, Expert Syst. Appl..

[39]  Ashish Tripathi,et al.  DWT-SVD-Based Color Image Watermarking Using Dynamic-PSO , 2018 .

[40]  P. V. S. S. R. Chandra Mouli,et al.  A robust semi-blind watermarking for color images based on multiple decompositions , 2017 .

[41]  Ioannis Pitas,et al.  Circularly symmetric watermark embedding in 2-D DFT domain , 2001, IEEE Trans. Image Process..

[42]  Ioannis Pitas,et al.  Robust image watermarking in the spatial domain , 1998, Signal Process..

[43]  Dan Simon,et al.  Biogeography-Based Optimization , 2022 .

[44]  Yu Zhang,et al.  Immunity-Based Gravitational Search Algorithm , 2012, ICICA.

[45]  Taha H. Rassem,et al.  Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics , 2016, IET Image Process..