Proposing a New Image Watermarking Method Using Shearlet Transform and Whale Optimization Algorithm

Document Type : Special Issue for INCITEST 2024 Indonesia

Authors

1 Department of Computer Engineering, Artificial Intelligence, South Tehran Branch, Islamic Azad University, Tehran, Iran

2 Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran

Abstract

Digital images watermarking is a method for data hiding that ensures the security of multimedia data. In these ways, a watermark can be a digital image or data stored within digital content. The Shearlet transform, a multi-resolution and multi-directional conversion, can be used for watermarking in digital images. Due to its superior features, this conversion can increase the efficiency of applications such as watermarking of images. In this paper, Shearlet and SVD transforms are used with the Whale optimization algorithm to obtain the most appropriate scaling factor in the watermark extraction step after applying different types of image processing attacks. Shearlet Transform has more transparency than traditional converts. The SVD transform also increases the robustness of watermarking operations. The results of different experiments show that the new method presented in this paper, in terms of robustness and imperceptibility compared to the methods tested, performs better than most image processing attacks.

Keywords


 
1.     Huang, B.-B. and Tang, S.-X., "A contrast-sensitive visible watermarking scheme", IEEE MultiMedia,  Vol. 13, No. 2, (2006), 60-66. DOI: 10.1109/MMUL.2006.23
2.     Abdelhakim, A.M., Saleh, H.I. and Nassar, A.M., "A quality guaranteed robust image watermarking optimization with artificial bee colony", Expert Systems with Applications,  Vol. 72, No., (2017), 317-326. DOI: 10.1016/j.eswa.2016.10.056
3.     Das, C., Panigrahi, S., Sharma, V.K. and Mahapatra, K., "A novel blind robust image watermarking in dct domain using inter-block coefficient correlation", AEU-International Journal of Electronics and Communications,  Vol. 68, No. 3, (2014), 244-253. DOI: 10.1016/j.aeue.2013.08.018
4.     Wu, X. and Sun, W., "Robust copyright protection scheme for digital images using overlapping dct and svd", Applied Soft Computing,  Vol. 13, No. 2, (2013), 1170-1182. DOI: 10.1016/j.asoc.2012.09.028
5.     Ali, M., Ahn, C.W. and Siarry, P., "Differential evolution algorithm for the selection of optimal scaling factors in image watermarking", Engineering Applications of Artificial Intelligence,  Vol. 31, (2014), 15-26. DOI: 10.1016/j.engappai.2013.07.009
6.     Ali, M. and Ahn, C.W., "An optimized watermarking technique based on self-adaptive de in dwt–svd transform domain", Signal Processing,  Vol. 94, (2014), 545-556. DOI: 10.1016/j.sigpro.2013.07.024
7.     Mishra, A., Agarwal, C., Sharma, A. and Bedi, P., "Optimized gray-scale image watermarking using dwt–svd and firefly algorithm", Expert Systems with Applications,  Vol. 41, No. 17, (2014), 7858-7867. DOI: 10.1016/j.eswa.2014.06.011
8.     Makbol, N.M., Khoo, B.E. and Rassem, T.H., "Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics", IET Image Processing,  Vol. 10, No. 1, (2016), 34-52. DOI: 10.1049/iet-ipr.2014.0965
9.     Makbol, N.M. and Khoo, B.E., "A new robust and secure digital image watermarking scheme based on the integer wavelet transform and singular value decomposition", Digital Signal Processing,  Vol. 33, (2014), 134-147. DOI: 10.1016/j.dsp.2014.06.012
10.   Ansari, I.A., Pant, M. and Ahn, C.W., "Robust and false positive free watermarking in iwt domain using svd and abc", Engineering Applications of Artificial Intelligence,  Vol. 49, (2016), 114-125. DOI: 10.1016/j.engappai.2015.12.004
11.   Makbol, N.M. and Khoo, B.E., "Robust blind image watermarking scheme based on redundant discrete wavelet transform and singular value decomposition", AEU-International Journal of Electronics and Communications,  Vol. 67, No. 2, (2013), 102-112. DOI: 10.1016/j.aeue.2012.06.008
12.   Araghi, T.K., Abd Manaf, A. and Araghi, S.K., "A secure blind discrete wavelet transform based watermarking scheme using two-level singular value decomposition", Expert Systems with Applications,  Vol. 112, (2018), 208-228. DOI: 10.1016/j.eswa.2018.06.024
13.   Araghi, T.K. and Abd Manaf, A., "An enhanced hybrid image watermarking scheme for security of medical and non-medical images based on dwt and 2-d svd", Future Generation Computer Systems,  Vol. 101, (2019), 1223-1246. DOI: 10.1016/j.future.2019.07.064
14.   Najafi, E. and Loukhaoukha, K., "Hybrid secure and robust image watermarking scheme based on svd and sharp frequency localized contourlet transform", Journal of Information Security and Applications,  Vol. 44, (2019), 144-156. DOI: 10.1016/j.jisa.2018.12.002
15.   Ali, M., Ahn, C.W., Pant, M. and Siarry, P., "An image watermarking scheme in wavelet domain with optimized compensation of singular value decomposition via artificial bee colony", Information Sciences,  Vol. 301, (2015), 44-60. DOI: 10.1016/j.ins.2014.12.042
16.   Mardanpour, M. and Chahooki, M.A.Z., "Robust transparent image watermarking with shearlet transform and bidiagonal singular value decomposition", AEU-International Journal of Electronics and Communications,  Vol. 70, No. 6, (2016), 790-798. DOI: 10.1016/j.aeue.2016.03.004
17.   Fazli, S. and Moeini, M., "A robust image watermarking method based on dwt, dct, and svd using a new technique for correction of main geometric attacks", Optik-International Journal for Light and Electron Optics,  Vol. 127, No. 2, (2016), 964-972. DOI: 10.1016/j.ijleo.2015.09.205
18.   Vahedi, E., Zoroofi, R.A. and Shiva, M., "Toward a new wavelet-based watermarking approach for color images using bio-inspired optimization principles", Digital Signal Processing,  Vol. 22, No. 1, (2012), 153-162. DOI: 10.1016/j.dsp.2011.08.006
19.   Maity, S.P., Maity, S., Sil, J. and Delpha, C., "Collusion resilient spread spectrum watermarking in m-band wavelets using ga-fuzzy hybridization", Journal of Systems and Software,  Vol. 86, No. 1, (2013), 47-59. DOI: 10.1016/j.jss.2012.06.057
20.   Papakostas, G.A., Tsougenis, E. and Koulouriotis, D.E., "Moment-based local image watermarking via genetic optimization", Applied Mathematics and Computation,  Vol. 227, (2014), 222-236. DOI: 10.1016/j.amc.2013.11.036
21.   Tsai, H.-H., Jhuang, Y.-J. and Lai, Y.-S., "An svd-based image watermarking in wavelet domain using svr and pso", Applied Soft Computing,  Vol. 12, No. 8, (2012), 2442-2453. DOI: 10.1016/j.asoc.2012.02.021
22.   Tsai, H.-H., Lai, Y.-S. and Lo, S.-C., "A zero-watermark scheme with geometrical invariants using svm and pso against geometrical attacks for image protection", Journal of Systems and Software,  Vol. 86, No. 2, (2013), 335-348. DOI: 10.1016/j.jss.2012.08.040
23.   Ansari, I.A. and Pant, M., "Multipurpose image watermarking in the domain of dwt based on svd and abc", Pattern Recognition Letters,  Vol. 94, (2017), 228-236. DOI: 10.1016/j.patrec.2016.12.010
24.   Serdean, C.V., Tomlinson, M., Wade, J. and Ambroze, A.M., "Protecting intellectual rights: Digital watermarking in the wavelet domain", in IEEE Int. Workshop Trends and Recent Achievements in IT. (2002), 16-18.
25.   Jian, Z., Shan, L., Jian, J., Wanru, Z. and Shunli, Z., "Extended shearlet-based image watermarking algorithm using selective coefficients in horizontal cone", Arabian Journal for Science and Engineering,  Vol. 42, No. 8, (2017), 3597-3607. DOI: 10.1007/s13369-017-2620-1
26.   Wang, X.-y., Liu, Y.-n., Xu, H., Wang, A.-l. and Yang, H.-y., "Blind optimum detector for robust image watermarking in nonsubsampled shearlet domain", Information Sciences,  Vol. 372, (2016), 634-654. DOI: 10.1016/j.ins.2016.08.076
27.   Yahya, A.-N., Jalab, H.A., Wahid, A. and Noor, R.M., "Robust watermarking algorithm for digital images using discrete wavelet and probabilistic neural network", Journal of King Saud University-Computer and Information Sciences,  Vol. 27, No. 4, (2015), 393-401. DOI: 10.1016/j.jksuci.2015.02.002
28.   Kasmani, S.A. and Naghsh-Nilchi, A.R., "Robust digital image watermarking based on joint dwt-dct", (2009). DOI: 10.4156/jdcta.vol3.issue2.amirgholipour
29.   Abdallah, H.A., Hadhoud, M.M., Shaalan, A.A. and El-samie, F.E.A., "Blind wavelet-based image watermarking", International Journal of Signal Processing, Image Processing and Pattern Recognition,  Vol. 4, No. 1, (2011). DOI:
30.   Zain, J.M. and Clarke, M., "Reversible region of non-interest (roni) watermarking for authentication of dicom images", arXiv preprint arXiv:1101.1603,  (2011). DOI: arXiv:1101.1603
31.   Banitalebi, A., Nader-Esfahani, S. and Avanaki, A.N., "Robust lsb watermarking optimized for local structural similarity", arXiv preprint arXiv:1803.04617, (2018). DOI: arXiv:1803.04617
32.   Wenyin, Z. and Shih, F.Y., "Semi-fragile spatial watermarking based on local binary pattern operators", Optics Communications,  Vol. 284, No. 16-17, (2011), 3904-3912. DOI: 10.1016/j.optcom.2011.04.004
33.   Ni, Z., Shi, Y.-Q., Ansari, N. and Su, W., "Reversible data hiding", IEEE Transactions on circuits and systems for video technology,  Vol. 16, No. 3, (2006), 354-362. DOI: 10.1109/TCSVT.2006.869964
34.   Arya, P., Tomar, D.S. and Dubey, D., "A review on different digital watermarking techniques", International Journal of Signal Processing, Image Processing and Pattern Recognition,  Vol. 8, No. 10, (2015), 129-136.
35.   Kaushik, A.K., "A novel approach for digital watermarking of an image using dft", International Journal of Electrical, Electronics & Computer Science Engineering,  Vol. 1, No. 1, (2012), 35-41.
36.   Vyas, A., Yu, S. and Paik, J., "Multiscale transforms with application to image processing, Springer,  (2018).
37.   Labate, D., Lim, W.-Q., Kutyniok, G. and Weiss, G., "Sparse multidimensional representation using shearlets", in Wavelets XI, International Society for Optics and Photonics. Vol. 5914, No. Issue, (2005), 59140U. DOI: 10.1117/12.613494
38.   Guo, K. and Labate, D., "Optimally sparse multidimensional representation using shearlets", SIAM Journal on Mathematical Analysis,  Vol. 39, No. 1, (2007), 298-318. DOI: 10.1137/060649781
39.   Favorskaya, M.N., Jain, L.C. and Savchina, E.I., Perceptually tuned watermarking using non-subsampled shearlet transform, in Computer vision in control systems-4. 2018, Springer.41-69. DOI: 10.1007/978-3-319-67994-5_3
40.   Vaidya, P. and PVSSR, C.M., "A robust semi-blind watermarking for color images based on multiple decompositions", Multimedia Tools and Applications,  Vol. 76, No. 24, (2017), 25623-25656. DOI: 10.1007/s11042-017-4532-1.
41.   Vali, M.H., Aghagolzadeh, A. and Baleghi, Y., "Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition", Expert Systems with Applications,  Vol. 114, (2018), 296-312. DOI: 10.1016/j.eswa.2018.07.004
42.   Mirjalili, S. and Lewis, A., "The whale optimization algorithm", Advances in Engineering Software,  Vol. 95, (2016), 51-67. DOI: 10.1016/j.advengsoft.2016.01.008
43.   Wang, Z., Bovik, A.C., Sheikh, H.R. and Simoncelli, E.P., "Image quality assessment: From error visibility to structural similarity", IEEE Transactions on Image Processing,  Vol. 13, No. 4, (2004), 600-612. DOI: 10.1109/TIP.2003.819861
44.   Mousavi, S.M., Naghsh, A. and Abu-Bakar, S., "Watermarking techniques used in medical images: A survey", Journal of Digital Imaging,  Vol. 27, No. 6, (2014), 714-729. DOI: 10.1007/s10278-014-9700-5
45.   Heylen, K. and Dams, T., "An image watermark tutorial tool using matlab", in Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI, International Society for Optics and Photonics. Vol. 7075, (2008), 70750D. DOI: 10.1117/12.793308
46.   Jabade, V.S. and Gengaje, D.S.R., "Literature review of wavelet based digital image watermarking techniques", International Journal of  Computer Applications,  Vol. 31, No. 1, (2011), 28-35.
47.   Arora, S.M., "A dwt-svd based robust digital watermarking for digital images", Procedia Computer Science,  Vol. 132, (2018), 1441-1448. DOI: 10.1016/j.procs.2018.05.076