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A robust DCT-2DLDA watermark for color images

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Abstract

A blind watermarking algorithm is proposed, which is based on the Discrete Cosine Transform (DCT) method. It uses Two-Dimensional Linear Discriminant Analysis (2DLDA) watermark scheme for copyright protection. During the embedding process, the color image is converted into the YIQ color space. The quadrature chrominance component is transformed into frequency domain and it uses DCT method. Then, two binary watermarks for reference and logo are added to particular bits of the AC coefficients. During the extraction process, the logo watermark is extracted using matrix-based 2DLDA based on DCT method. By embedding the training data and using a matrix-based 2DLDA scheme, we do not need all the embedded information. The numbers of training samples for each class are small; the training covariance matrices are directly computed from 2D image samples by using 2DLDA. This ensures the efficient and the robustness of watermark extraction. Experimental results demonstrate that the differences between the watermarked image and the original image are indistinguishable. The proposed method is effectively resist common image processing attacks.

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References

  1. Abu-Marie W, Gutub A, Abu-Mansour H (2010) Image based steganography using truth table based and determinate Array on RGB Indicator. International Journal of Signal and Image Processing (IJSIP) 1(3):196–204

    Google Scholar 

  2. Agarwal H, Raman B, Venkat I (2015) Blind reliable invisible watermarking method in wavelet domain for face image watermark. Multimedia Tools and Applications 74(17):6897–6935

    Article  Google Scholar 

  3. Agarwal H, Atrey PK, Raman B (2015) Image watermarking in real oriented wavelet transform domain. Multimedia Tools and Applications 74(23):10883–10921

    Article  Google Scholar 

  4. Algashaam FM, Nguyen K, Alkanhal M, Chandran V, Boles W, Banks J (2017) Multispectral periocular classification with multimodal compact multi-linear pooling. IEEE Access 5:14572–14578

    Article  Google Scholar 

  5. Al-Otaibi NA and Gutub AA (2014) 2-Leyer Security System for Hiding Sensitive Text Data on Personal Computers. In: The 3rd International Conference on Advancements in Information Technology (ICAIT 2014) pp. 73–79

  6. Chang TJ, Huang PS, Pan IH (2014) Watermarking with two-dimensional principal component analysis for quick response application. Information 17(6):2145–2154

    Google Scholar 

  7. Gutub AAA (2010) Pixel Indicator technique for RGB image steganography. Journal of Emerging Technologies in Web Intelligence (JETWI) 2(1):56–64

    Google Scholar 

  8. Gutub A, Al-Juaid N, Khan E (2017) Counting-based secret sharing technique for multimedia applications. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-017-5293-6

    Article  Google Scholar 

  9. Han SC, Yang JF, Wang R, Jia GM (2018) A robust color image watermarking algorithm against rotation attacks. Optoelectron Lett 14(1):61–66

    Article  Google Scholar 

  10. Hou D, Zhang W, Chen K, Lin SJ, Yu N (2018) Reversible data hiding in color image with grayscale invariance. IEEE Transactions on Circuits and Systems for Video Technology. https://doi.org/10.1109/TCSVT.2018.2803303

    Article  Google Scholar 

  11. Korus P, Białas J, Dziech A (2015) Towards practical self-embedding for JPEG-compressed digital images. IEEE Transactions on Multimedia 17(2):157–170

    Article  Google Scholar 

  12. Kumar C, Singh AK, Kumar P (2018) A recent survey on image watermarking techniques and its application in e-governance. Multimedia Tools and Applications 77(3):3597–3622

    Article  Google Scholar 

  13. Lakrissi Y, Saaidi A, Essahlaoui A (2018) Novel dynamic color image watermarking based on DWT-SVD and the human visual system. Multimedia Tools and Applications 77(11):13531–13555

    Article  Google Scholar 

  14. Lee J, Choe Y (2018) Robust PCA based on incoherence with geometrical interpretation. IEEE Trans Image Process 27(4):1939–1950

    Article  MathSciNet  Google Scholar 

  15. Leng L, Zhang J, Xu J, Khan MK, and Alghathbar K (2010) Dynamic weighted discrimination power analysis in DCT domain for face and palmprint recognition. In: 2010 International Conference on Information and Communication Technology Convergence (ICTC)

  16. Leng L, Zhang J, Khan MK, Chen X, Alghathbar K (2010) Dynamic weighted discrimination power analysis: a novel approach for face and palmprint recognition in DCT domain. International Journal of the Physical Sciences 5(17):2543–2554

    Google Scholar 

  17. Leng L, Zhang J, Chen G, Khan MK, and Alghathbar K (2011) Two-directional two dimensional random projection and its variations for face and palmprint recognition. In: International Conference on Computational Science and Its Applications (ICCSA) pp. 458–470

  18. Li L, Hou Q, Lu J, Xu Q, Dai J, Mao X, Chang CC (2014) A new pixels flipping method for huge watermarking capacity of the invoice font image. Sci World J 2014. https://doi.org/10.1155/2014/895063

    Google Scholar 

  19. Li JZ, Lin Q, Yu C, Ren X, Li P (2018) A QDCT- and SVD-based color image watermarking scheme using an optimized encrypted binary computer-generated hologram. Soft Comput 22(1):47–65

    Article  Google Scholar 

  20. Li S, Geng Y, Liu Z, Wang J (2018) "V" shape curves of physical parameters of field emitters versus applied voltage toward breakdown in vacuum. IEEE Trans Dielectr Electr Insul 25(2):749–755

    Article  Google Scholar 

  21. Lin SD, Shie SC, Guo JY (2010) Improving the robustness of DCT-based image watermarking against JPEG compression. Computer Standards & Interfaces 32(1–2):54–60

    Article  Google Scholar 

  22. Liu Y, Nie L, Han L, Zhang L, and Rosenblum DS (2015) Action2Activity: Recognizing Complex Activities from Sensor Data. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) pp. 1617–1623

  23. Liu Y, Nie L, Liu L, Rosenblum DS (2016) From action to activity: sensor-based activity recognition. Neurocomputing 181:108–115

    Article  Google Scholar 

  24. Liu Y, Zheng Y, Liang Y, Liu S, and Rosenblum DS (2016) Urban Water Quality Prediction Based on Multi-task Multi-view Learning. In: The International Joint Conference on Artificial Intelligence( IJCAI) pp. 2576–2582

  25. Liu S, Pan Z, Song H (2017) Digital image watermarking method based on DCT and fractal encoding. IET Image Process 11(10):815–821

    Article  Google Scholar 

  26. Loan NA, Hurrah NN, Parah SA, Lee JW, Sheikh JA, Bhat GM (2018) Secure and robust digital image watermarking using coefficient differencing and chaotic encryption. IEEE Access 6:19876–19897

    Article  Google Scholar 

  27. Lu Y, Yuan C, Lai Z, Li X, Zhang D, Wong WK (2018) Horizontal and Vertical Nuclear Norm-Based 2DLDA for Image Representation. IEEE Transactions on Circuits and Systems for Video Technology pp. 1–1

  28. Lu X, Zhang W, Li X (2018) A hybrid sparsity and distance-based discrimination detector for hyperspectral images. IEEE Trans Geosci Remote Sens 56(3):1704–1717

    Article  Google Scholar 

  29. Pan IH, Huang PS, Chang TJ (2013) DCT-based watermarking for color images via two-dimensional linear discriminant analysis. Information Technology Convergence, Lecture Notes in Electrical Engineering 253:57–65

    Article  Google Scholar 

  30. Parvez MT, Gutub AAA (2011) Vibrant color image steganography using channel differences and secret data distribution. Kuwait Journal of Science and Engineering (KJSE) 38(1B):127–142

    Google Scholar 

  31. Patvardhan C, Kumar P, Lakshmi CV (2018) Effective color image watermarking scheme using YCbCr color space and QR code. Multimedia Tools and Applications 77(10):12655–12677

    Article  Google Scholar 

  32. Pei J, Huang Y, Huo W, Wu J, Yang J, Yang H (2016) SAR imagery feature extraction using 2DPCA-based two-dimensional neighborhood virtual points discriminant embedding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9(6):2206–2214

    Article  Google Scholar 

  33. Phadikar A, Maity SP, Verma B (2011) Region based QIM digital watermarking scheme for image database in DCT domain. Computers & Electrical Engineering 37(3):339–355

    Article  Google Scholar 

  34. Pizzolante R, Carpentieri B, Castiglione A, and Maio GD (2011) The AVQ Algorithm: Watermarking and Compression Performances. In: Third International Conference on Intelligent Networking and Collaborative Systems, pp. 698–702

  35. Pizzolante R, Castiglione A, Carpentieri B, Santis AD , and Castiglione A (2016) Reversible Copyright Protection for DNA Microarray Images. In: 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) pp. 458–470

  36. Shifa A, Afgan MS, Asghar MN, Fleury M, Memon I, Abdullah S, N Rasheed (2018) Joint crypto-Stego scheme for enhanced image protection with nearest-centroid clustering. IEEE Access 6:16189–16206

    Article  Google Scholar 

  37. Thakkar FN, Srivastava VK (2017) A blind medical image watermarking: DWT-SVD based robust and secure approach for telemedicine applications. Multimedia Tools and Applications 76(3):3669–3697

    Article  Google Scholar 

  38. Thanh TM, Tanaka K (2017) An image zero-watermarking algorithm based on the encryption of visual map feature with watermark information. Multimedia Tools and Applications 76(11):13455–13471

    Article  Google Scholar 

  39. Uccellari M, Facchini F, Sola M, Sirignano E, Vitetta GM, Barbieri A, Tondelli S (2018) on the application of support vector machines to the prediction of propagation losses at 169 MHz for smart metering applications. IET Microwaves, Antennas & Propagation 12(3):302–312

    Google Scholar 

  40. Xing Y, Lv C, Chen L, Wang H, Wang H, Cao D, Velenis E, Wang FY (2018) Advances in vision-based lane detection: algorithms, integration, assessment, and perspectives on ACP-based parallel vision. IEEE/CAA Journal of Automatica Sinica 5(3):645–661

    Article  Google Scholar 

  41. Zhao J, Shi L, Zhu J (2015) Two-stage regularized linear discriminant analysis for 2-D data. IEEE Transactions on Neural Networks and Learning Systems 26(8):1669–1681

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taiwan, Republic of China

    Te-Jen Chang

  2. Air Command and Staff College, National Defense University, Taiwan, Republic of China

    I-Hui Pan

  3. Department of Electronic Engineering, Ming Chuan University, Taiwan, Republic of China

    Ping-Sheng Huang

  4. Department of Aero-Electronic Engineering, Air Force Institute of Technology, Gangshan Townwhip, Kaohsiung, County 820, Taiwan, Republic of China

    Chen-Hao Hu

Authors
  1. Te-Jen Chang
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  2. I-Hui Pan
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  3. Ping-Sheng Huang
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  4. Chen-Hao Hu
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Correspondence to Chen-Hao Hu.

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Chang, TJ., Pan, IH., Huang, PS. et al. A robust DCT-2DLDA watermark for color images. Multimed Tools Appl 78, 9169–9191 (2019). https://doi.org/10.1007/s11042-018-6505-4

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  • DOI: https://doi.org/10.1007/s11042-018-6505-4

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