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Recent Advances in Computer Science and Communications

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Systematic Review Article

A Comparative Study of Various Digital Image Watermarking Techniques: Specific to Hybrid Watermarking

Author(s): Sushma Jaiswal and Manoj Kumar Pandey*

Volume 16, Issue 8, 2023

Published on: 26 June, 2023

Article ID: e220523217211 Pages: 20

DOI: 10.2174/2666255816666230522155134

Price: $65

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Abstract

Digital security is one of the important aspects of today’s era. Digital content is being grown every day on the internet; therefore, it is essential to guard the copyright of digital content using various techniques. Watermarking has emerged as an important field of study aiming at securing digital content and copyright protection. None of the watermarking techniques can provide well robustness against all the attacks, and algorithms are designed based on required specifications, which means there is a lot of opportunity in this field. Image watermarking is a vast area of research, starting from spatial-based methods to deep learning-based methods, and it has recently gained a lot of popularity due to the involvement of deep learning technology for ensuring the security of digital content. This study aims at exploring important highlights from spatial to deep learning methods of watermarking, which will be helpful for the researchers. In order to accomplish this study, the standard research papers of the last ten years have been obtained from various databases and reviewed to answer the five research questions. Open issues and challenges are identified and listed after reviewing various kinds of literature. Our study reveals that hybrid watermarking performs better in terms of balancing the trade-off between imperceptibility and robustness. Current research trends and future direction is also discussed.

Keywords: DCT, DWT, LWT, CNN, machine learning, watermarking.

Graphical Abstract

[1]
Handbook of Pulping and Papermaking., 2nd ed Academic Press: San Diego, California, USA, 1996.
[2]
A.D. Ker, Improved detection of LSB steganography in grayscale images. International workshop on information hiding, 2004, p. 97-115.
[http://dx.doi.org/10.1007/978-3-540-30114-1_8]
[3]
R. Chandramouli, and N. Memon, "Analysis of LSB based image steganography techniques", In Proceedings 2001 International Conference on Image Processing (Cat. No. 01CH37205), Oct 07-10, 2001, vol. 3, Thessaloniki, Greece, 2001, p. 1019-1022
[http://dx.doi.org/10.1109/ICIP.2001.958299]
[4]
A. Singh, M. Dave, and A. Mohan, "Hybrid technique for robust and imperceptible multiple watermarking using medical images", In: Multimedia Tools Application., Springer, 2014, pp. 1-21.
[5]
S. Jaiswal, and M.K. Pandey, "A review on image segmentation", In: Rising Threats in Expert Applications and Solutions, Proceedings of FICR-TEAS, Springer, 2021, pp. 233-240.
[http://dx.doi.org/10.1007/978-981-15-6014-9_27]
[6]
N. Agarwal, A. Singh, and P. Singh, Survey of robust and imperceptible watermarking. Multimedia Tools Application., Springer, 2019.
[http://dx.doi.org/10.1007/s11042-018-7128-5]
[7]
D.K. Mahto, and A.K. Singh, "A survey of color image watermarking: State-of-the-art and research directions", Comput. Electr. Eng., vol. 93, p. 107255, 2021.
[http://dx.doi.org/10.1016/j.compeleceng.2021.107255]
[8]
S. Bagheri Baba Ahmadi, G. Zhang, S. Wei, and L. Boukela, "An intelligent and blind image watermarking scheme based on hybrid SVD transforms using human visual system characteristics", Vis. Comput., vol. 37, no. 2, pp. 385-409, 2021.
[http://dx.doi.org/10.1007/s00371-020-01808-6]
[9]
L. Sun, J. Xu, S. Liu, S. Zhang, Y. Li, and C. Shen, "A robust image watermarking scheme using Arnold transform and BP neural network", Neural Comput. Appl., vol. 30, no. 8, pp. 2425-2440, 2018.
[http://dx.doi.org/10.1007/s00521-016-2788-4]
[10]
F. Ernawan, and M.N. Kabir, "A block-based RDWT-SVD image watermarking method using human visual system characteristics", Vis. Comput., vol. 36, no. 1, pp. 19-37, 2020.
[http://dx.doi.org/10.1007/s00371-018-1567-x]
[11]
H. Wang, and Q. Su, "A color image watermarking method combined QR decomposition and spatial domain", Multimedia Tools Appl., vol. 81, no. 26, pp. 37895-37916, 2022.
[http://dx.doi.org/10.1007/s11042-022-13064-y]
[12]
Z.B. Faheem, M. Ali, M.A. Raza, F. Arslan, J. Ali, M. Masud, and M. Shorfuzzaman, "Image watermarking scheme using LSB and image gradient", Appl. Sci., vol. 12, no. 9, p. 4202, 2022.
[http://dx.doi.org/10.3390/app12094202]
[13]
C. Selvi, R.B. Sudhakar, and G. Priyadharshini, "DWT based watermarking approach for medical image authentication", 2016 10th International Conference on Intelligent Systems and Control (ISCO), Coimbator, India, 2016, p. 1-5.
[http://dx.doi.org/10.1109/ISCO.2016.7726895]
[14]
A. Poljicak, D. Donevski, P.B. Jelusic, and T. Cigula, "Robust DFT watermarking method with gray component replacement masking", Multimedia Tools Appl., vol. 81, no. 21, pp. 30365-30386, 2022.
[http://dx.doi.org/10.1007/s11042-022-12756-9]
[15]
S.L.G. Coronel, B.E. Ramírez, and M.A.A. Mosqueda, "Robust watermark technique using masking and Hermite transform", Springerplus, vol. 5, no. 1, p. 1830, 2016.
[http://dx.doi.org/10.1186/s40064-016-3460-2] [PMID: 27818868]
[16]
"Discrete Wavelet Transform", Available from: https://en.wikipedia.org/wiki/Discrete_wavelet_transform
[17]
A. Anand, and A.K. Singh, "Joint watermarking-encryption-ECC for patient record security in wavelet domain", IEEE Multimed., vol. 27, no. 3, pp. 66-75, 2020.
[http://dx.doi.org/10.1109/MMUL.2020.2985973]
[18]
B. Mohammed, H. Yassine, M.L. Abdelmouneim, B. Abdesselam, and T.A. Abdelmalik, "Performance evaluation of DWT compared to DCT for compression biomedical image", Int. J. Modern Educat. Comput. Sci., vol. 6, no. 4, pp. 9-15, 2014.
[http://dx.doi.org/10.5815/ijmecs.2014.04.02]
[19]
W. Sweldens, "The lifting scheme a construction of second generation wavelets", SIAM J. Math. Anal., vol. 29, no. 2, pp. 511-546, 1998.
[http://dx.doi.org/10.1137/S0036141095289051]
[20]
R. Claypoole, R. Baraniuk, and R. Nowak, "Adaptive wavelet transforms via lifting", In IEEE International conference on acoustics, speech and signal process, vol. 3, 1998, p. 1513-1516
[21]
W. Sweldens, "The lifting scheme: A custom-design construction of biorthogonal wavelets", Appl. Comput. Harmon. Anal., vol. 3, no. 2, pp. 186-200, 1996.
[http://dx.doi.org/10.1006/acha.1996.0015]
[22]
X. Li, J. Li, B. Li, and B. Yang, "High-fidelity reversible data hiding scheme based on pixel-value-ordering and prediction-error expansion", Signal Processing, vol. 93, no. 1, pp. 198-205, 2013.
[http://dx.doi.org/10.1016/j.sigpro.2012.07.025]
[23]
L. Zhang, and D. Wei, "Image watermarking based on matrix decomposition and gyrator transform in invariant integer wavelet domain", Signal Processing, vol. 169, p. 107421, 2020.
[http://dx.doi.org/10.1016/j.sigpro.2019.107421]
[24]
N. Yadav, D. Rajpoot, and S.K. Dhakad, "Optimization of watermarking in image by using particle swarm optimization algorithm", In 6th International Conference on Signal Processing and Communication (ICSC), Noida, India, 2020, pp. 85-90
[http://dx.doi.org/10.1109/ICSC48311.2020.9182716]
[25]
V.S. Verma, R.K. Jha, and A. Ojha, "Significant region based robust watermarking scheme in lifting wavelet transform domain", Expert Syst. Appl., vol. 42, no. 21, pp. 8184-8197, 2015.
[http://dx.doi.org/10.1016/j.eswa.2015.06.041]
[26]
I.A. Ansari, M. Pant, and C.W. Ahn, "Robust and false positive free watermarking in IWT domain using SVD and ABC", Eng. Appl. Artif. Intell., vol. 49, pp. 114-125, 2016.
[http://dx.doi.org/10.1016/j.engappai.2015.12.004]
[27]
D. Vaishnavia, and T.S. Subashini, "Robust and invisible image watermarking in RGB color space using SVD", Proceedings of the International Conference on Information and Communication Technologies, Kochi India, 2014, pp. 3-5.
[28]
V.S. Verma, R.K. Jha, and A. Ojha, "Digital watermark extraction using support vector machine with principal component analysis based feature reduction", J. Vis. Commun. Image Represent., vol. 31, pp. 75-85, 2015.
[http://dx.doi.org/10.1016/j.jvcir.2015.06.001]
[29]
X. Zhou, C. Cao, J. Ma, and L. Wang, "Adaptive digital watermarking scheme based on support vector machines and optimized genetic algorithm", Math. Probl. Eng., no. 6, pp. 1-9, 2018.
[http://dx.doi.org/10.1155/2018/2685739]
[30]
S. Wadhera, D. Kamra, A. Rajpal, A. Jain, and V. Jain, "A comprehensive review on digital image watermarking", arXiv.
2207.06909, 2022 [http://dx.doi.org/10.48550/ARXIV.2207.06909]
[31]
S.S. Gonge, and A. Ghatol, "Combination of encryption and digital watermarking techniques used for security and copyright protection of still image", IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), Jaipur, India, 2014.
[http://dx.doi.org/10.1109/ICRAIE.2014.6909274]
[32]
S. Roy, and A.K. Pal, "A blind DCT based color watermarking algorithm for embedding multiple watermarks", AEU Int. J. Electron. Commun., vol. 72, pp. 149-161, 2017.
[http://dx.doi.org/10.1016/j.aeue.2016.12.003]
[33]
S. Liu, Z. Pan, and H. Song, "Digital image watermarking method based on DCT and fractal encoding", IET Image Process., vol. 11, no. 10, pp. 815-821, 2017.
[http://dx.doi.org/10.1049/iet-ipr.2016.0862]
[34]
M. Begum, and M.S. Uddin, "Multiple image watermarking with discrete cosine transform", J. Comput. Commun., vol. 9, no. 3, pp. 88-94, 2021.
[http://dx.doi.org/10.4236/jcc.2021.93006]
[35]
S.E. Tsai, K.C. Liu, and S.M. Yang, "An efficient image watermarking method based on fast discrete cosine transform algorithm", Math. Probl. Eng., vol. 2017, pp. 1-10, 2017.
[http://dx.doi.org/10.1155/2017/3509258]
[36]
B. Lutovac, M. Dakovic, S. Stankovic, and I. Orovic, "An algorithm for robust image watermarking based on the DCT and Zernike moments", Multimedia Tools Application, vol. 76, no. 22, 2016.
[http://dx.doi.org/10.1007/s11042-016-4127-2]
[37]
S. Prajwalasimha, S. Chethan Suputhra, and C. Mohan, "Performance analysis of combined Discrete Fourier Transformation (DFT) and successive division based image watermarking scheme", Int. J. Recent Technol. Eng., vol. 2019, no. 8, pp. 34-39, 2019.
[38]
N. Jimson, and K. Hemachandran, "DFT based Coefficient Exchange Digital Image watermarking", Proceedings of the Second International Conference on Intelligent Computing and Control Systems (ICICCS 2018) June14-15, 2018, Madurai, India, 2018.
[http://dx.doi.org/10.1109/ICCONS.2018.8663122]
[39]
S.S. Jamal, M.U. Khan, and T. Shah, "A watermarking technique with chaotic fractional S-Box transformation", Wirel. Pers. Commun., vol. 90, no. 4, pp. 2033-2049, 2016.
[http://dx.doi.org/10.1007/s11277-016-3436-0]
[40]
S. Kumar, and B.K. Singh, "DWT based color image watermarking using maximum entropy", Multimedia Tools Appl., vol. 80, no. 10, pp. 15487-15510, 2021.
[http://dx.doi.org/10.1007/s11042-020-10322-9]
[41]
M. Amini, M.O. Ahmad, and M.N.S. Swamy, "Digital watermark extraction in wavelet domain using hidden Markov model", Multimedia Tools Appl., vol. 76, no. 3, pp. 3731-3749, 2017.
[http://dx.doi.org/10.1007/s11042-016-3975-0]
[42]
S. Jia, Q. Zhou, and H. Zhou, "A novel color image watermarking scheme based on DWT and QR decomposition", J. Appl. Sci. Eng., vol. 20, pp. 193-200, 2017.
[43]
S.P. Ambadekar, J. Jain, and J. Khanapuri, "Digital image watermarking through encryption and DWT for copyright protection", Adv. Intell. Sys. Comput., vol. 727, pp. 187-195, 2019.
[http://dx.doi.org/10.1007/978-981-10-8863-6_19]
[44]
V.S. Verma, and R. Kumar Jha, "Improved watermarking technique based on significant difference of lifting wavelet coefficients", Signal Image Video Process., vol. 9, no. 6, pp. 1443-1450, 2015.
[http://dx.doi.org/10.1007/s11760-013-0603-6]
[45]
V.P. Vishwakarma, and V. Sisaudia, "Gray-scale image watermarking based on DE-KELM in DCT domain", Procedia Comput. Sci., vol. 132, pp. 1012-1020, 2018.
[http://dx.doi.org/10.1016/j.procs.2018.05.017]
[46]
C. Wang, Y. Zhang, and X. Zhou, "Robust image watermarking algorithm based on ASIFT against geometric attacks", Appl. Sci., vol. 8, no. 3, p. 410, 2018.
[http://dx.doi.org/10.3390/app8030410]
[47]
M. Islam, A. Roy, and R.H. Laskar, "SVM-based robust image watermarking technique in LWT domain using different sub-bands", Neural Comput. Appl., vol. 32, no. 5, pp. 1379-1403, 2020.
[http://dx.doi.org/10.1007/s00521-018-3647-2]
[48]
D.G. Savakar, and A. Ghuli, "Robust invisible digital image watermarking using hybrid scheme", Arab. J. Sci. Eng., vol. 44, no. 4, pp. 3995-4008, 2019.
[http://dx.doi.org/10.1007/s13369-019-03751-8]
[49]
A.K. Abdulrahman, and S. Ozturk, "A novel hybrid DCT and DWT based robust watermarking algorithm for color images", Multimedia Tools Appl., vol. 78, no. 12, pp. 17027-17049, 2019.
[http://dx.doi.org/10.1007/s11042-018-7085-z]
[50]
A.K. Singh, "Robust and distortion control dual watermarking in LWT domain using DCT and error correction code for color medical image", Multimedia Tools Appl., vol. 78, no. 21, pp. 30523-30533, 2019.
[http://dx.doi.org/10.1007/s11042-018-7115-x]
[51]
R. Mehta, K. Gupta, and A.K. Yadav, "An adaptive framework to image watermarking based on the twin support vector regression and genetic algorithm in lifting wavelet transform domain", Multimedia Tools Appl., vol. 79, no. 25-26, pp. 18657-18678, 2020.
[http://dx.doi.org/10.1007/s11042-020-08634-x]
[52]
P. Khare, and V.K. Srivastava, "A reliable and secure image watermarking algorithm using homomorphic transform in DWT domain", Multidimens. Syst. Signal Process., vol. 32, no. 1, pp. 131-160, 2021.
[http://dx.doi.org/10.1007/s11045-020-00732-1]
[53]
A. Zear, and P.K. Singh, "Secure and robust color image dual watermarking based on LWT-DCT-SVD", Multimedia Tools Appl., vol. 81, pp. 26721-26738, 2022.
[http://dx.doi.org/10.1007/s11042-020-10472-w]
[54]
M. Ghazvini, E.M. Hachrood, and M. Mirzadi, "An improved image watermarking method in frequency domain", J. Appl. Secur. Res., vol. 12, no. 2, pp. 260-275, 2017.
[http://dx.doi.org/10.1080/19361610.2017.1277878]
[55]
R. Dixit, A. Nandal, A. Dhaka, V. Agarwal, and Y.V. Kuriakose, "LWT-DCT based image watermarking scheme using normalized SVD", Rec. Adv. Comput. Sci. Commun., vol. 14, no. 9, pp. 2976-2991, 2021.
[http://dx.doi.org/10.2174/2666255813999200821161656]
[56]
S. Jaiswal, and M.K. Pandey, "Robust digital image watermarking using LWT and Random-Subspace-1DLDA with PCA based statistical feature reduction", In 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), Gunupur, India, 2022, pp. 1-6
[http://dx.doi.org/10.1109/ICCSEA54677.2022.9936355]
[57]
R. Thanki, A. Kothari, and S. Borra, "Hybrid, blind and robust image watermarking: RDWT–NSCT based secure approach for telemedicine applications", Multimedia Tools Appl., vol. 80, no. 18, pp. 27593-27613, 2021.
[http://dx.doi.org/10.1007/s11042-021-11064-y]
[58]
R. Sinhal, D.K. Jain, and I.A. Ansari, "Machine learning based blind color image watermarking scheme for copyright protection", Pattern Recognit. Lett., vol. 145, pp. 171-177, 2021.
[http://dx.doi.org/10.1016/j.patrec.2021.02.011]
[59]
Y.P. Chen, T.Y. Fan, and H.C. Chao, "WMNet: A lossless watermarking technique using deep learning for medical image authentication", Electronics, vol. 10, no. 8, p. 932, 2021.
[http://dx.doi.org/10.3390/electronics10080932]
[60]
S. Mellimi, V. Rajput, I.A. Ansari, and C.W. Ahn, "A fast and efficient image watermarking scheme based on Deep Neural Network", Pattern Recognit. Lett., vol. 151, pp. 222-228, 2021.
[http://dx.doi.org/10.1016/j.patrec.2021.08.015]
[61]
D.K. Mahto, A. Anand, and A.K. Singh, "Hybrid optimisation-based robust watermarking using denoising convolutional neural network", Soft Comput., vol. 26, no. 16, pp. 8105-8116, 2022.
[http://dx.doi.org/10.1007/s00500-022-07155-z]
[62]
M.W. Hatoum, J.F. Couchot, R. Couturier, and R. Darazi, "Using Deep learning for image watermarking attack", Signal Process. Image Commun., vol. 90, p. 116019, 2021.
[http://dx.doi.org/10.1016/j.image.2020.116019]
[63]
R. Hu, and S. Xiang, "CNN prediction based reversible data hiding", IEEE Signal Process. Lett., vol. 28, pp. 464-468, 2021.
[http://dx.doi.org/10.1109/LSP.2021.3059202]
[64]
Y. Qiu, W. Peng, X. Lin, H. Zeng, and Z Qian, "Improved CNN prediction based reversible data hiding", arXiv, p. 2301.01420v1, 2023.
[65]
J.E. Lee, Y.H. Seo, and D.W. Kim, "Convolutional neural network-based digital image watermarking adaptive to the resolution of image and watermark", Appl. Sci., vol. 10, no. 19, p. 6854, 2020.
[http://dx.doi.org/10.3390/app10196854]
[66]
H.T. Hu, L.Y. Hsu, and S.T. Wu, "Blind watermarking for hiding color images in color images with super-resolution enhancement", Sensors, vol. 23, no. 1, p. 370, 2022.
[http://dx.doi.org/10.3390/s23010370] [PMID: 36616967]
[67]
J.E. Lee, J.W. Kang, W.S. Kim, J.K. Kim, Y.H. Seo, and D.W. Kim, "Digital image watermarking processor based on deep learning", Electronics, vol. 10, no. 10, p. 1183, 2021.
[http://dx.doi.org/10.3390/electronics10101183]
[68]
Y. Zhao, C. Wang, X. Zhou, and Z. Qin, "DARI-Mark: Deep learning and attention network for robust image watermarking", Mathematics, vol. 11, no. 1, p. 209, 2022.
[http://dx.doi.org/10.3390/math11010209]
[69]
S. Ge, Z. Xia, Y. Tong, J. Weng, and J Liu, "A screen-shooting resilient document image watermarking scheme using deep neural network", arXiv, p. 2203.05198v1, 2022.
[70]
C. Mingzhi, L. Yan, Z. Yajian, and L. Min, "A combined DWT and DCT watermarking scheme optimized using genetic algorithm", J. Multimed., vol. 8, no. 3, pp. 299-305, 2013.
[http://dx.doi.org/10.4304/jmm.8.3.299-305]
[71]
P. Khare, and V.K. Srivastava, "A novel dual image watermarking technique using homomorphic transform and DWT", J. Intelligent Sys., vol. 30, no. 1, pp. 297-311, 2020.
[http://dx.doi.org/10.1515/jisys-2019-0046]
[72]
Available from: http://www.imageprocessingplace.com/root_files_V3/image_databases.htm (Accessed on: 21 October 2021)
[73]
F. Benedetto, G. Giunta, and A. Neri, "QoS assessment of 3G video-phone calls by tracing watermarking exploiting the new colour space ‘YST’", IET Commun., vol. 1, no. 4, pp. 696-704, 2007.
[http://dx.doi.org/10.1049/iet-com:20060331]
[74]
F. Benedetto, G. Giunta, and A. Neri, "A new color space domain for digital watermarking in multimedia application", Proceedings - International Conference on Image Processing, ICIP, Genova, Italy, 2005, p. 1-249.

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