Abstract
In order to protect the copyright of color digital images in the current Internet environment, this paper proposes a blind color image watermarking scheme based on nonsubsampled contourlet transform (NSCT) and Schur decomposition. In the stage of watermark embedding, NSCT is applied to acquire low-frequency coefficients of host images, and non-overlapping coefficient blocks of sized 4 × 4 are selected from the layered low-frequency coefficients by using Hash pseudo-random algorithm based on MD5. The watermark information encrypted by Lorenz chaotic mapping is embedded into the maximum eigenvalue of the matrix by quantization index modulation. In the extraction process, watermark information is extracted from the attacked watermarked image without using any original information. The simulation results show that all values of peak signal-to-noise ratio of the proposed watermarking scheme are more than 40 dB under the payload of 1/16 bit/pixel, and the values of Structural Similarity Index Metric are more than 0.97; when subjected to various common attacks, the mean of normalized cross-correlation is above 0.96, and the bit error rate is about 0.05; the key space is more than 2624; the running time is about 1.5 s. Compared with other schemes, on the premise of ensuring invisibility and embedding capacity, the proposed scheme has been significantly improved in terms of security and robustness.


















Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Chen, B., Wornell, G.W.: Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans. Inf. Theory 47, 1423–1443 (2001). https://doi.org/10.1109/18.923725
Hu, K., Wang, X., Hu, J., et al.: Robust and efficient image watermarking via EMD and dimensionality reduction. Vis. Comput. (2021). https://doi.org/10.1007/s00371-021-02275-3
Ernawan, F., Kabir, M.: A block-based RDWT-SVD image watermarking method using human visual system characteristics. Vis. Comput. 36, 19–37 (2020). https://doi.org/10.1007/s00371-018-1567-x
Chen, S., Su, Q., Wang, H., et al.: A high-efficiency blind watermarking algorithm for double color image using Walsh Hadamard transform. Vis. Comput. (2021). https://doi.org/10.1007/s00371-021-02277-1
Chen, Y., Jia, Z., Peng, Y., et al.: A new structure-preserving quaternion QR decomposition method for color image blind watermarking. Signal Process. 185, 108088 (2021). https://doi.org/10.1016/j.sigpro.2021.108088
Chen, H., Zhu, Y.: A robust watermarking algorithm based on QR factorization and DCT using quantization index modulation technique. Front. Inf. Technol. Electron. Eng. 13, 573–584 (2012). https://doi.org/10.1631/jzus.C1100338
Pan, J., Sun, X., Chu, S., et al.: Digital watermarking with improved SMS applied for QR code. Eng. Appl. Artif. Intell. 97, 104049 (2020). https://doi.org/10.1016/j.engappai.2020.104049
Ma, X., Wei, J., Tan, Y., et al.: A novel blind digital watermarking algorithm based on quantization for Jiaguwen rubbing image in Contourlet domain. IEEE (2010). https://doi.org/10.1109/ICALIP.2010.5685003
Martinsson, P., Quintana-Orti, G., Heavner, H.: RandUTV: a blocked randomized algorithm for computing a rank-revealing UTV factorization. ACM Trans. Math. Softw. 45, 4 (2019). https://doi.org/10.1145/3242670
Su, Q., Chen, B.: Robust color image watermarking technique in the spatial domain. Soft Comput. 22, 91–106 (2018). https://doi.org/10.1007/s00500-017-2489-7
Singh, S., Bhatnagar, G.: A new robust watermarking system in integer DCT domain. J. Vis. Commun. Image Represent. 53, 86–101 (2018). https://doi.org/10.1016/j.jvcir.2018.03.006
Goléa, E., Seghir, R., Benzid, R.: A bind RGB color image watermarking based on singular value decomposition. In: IEEE/ACS International Conference on Computer Systems & Applications. IEEE (2010). https://doi.org/10.1109/AICCSA.2010.5586967
Li, Y., Wei, D., Zhang, L.: Double-encrypted watermarking algorithm based on cosine transform and fractional Fourier transform in invariant wavelet domain. Inf. Sci. 551, 205–227 (2021). https://doi.org/10.1016/10.1016/j.ins.2020.11.020
Hsu, L., Hu, H.: Robust blind image watermarking using crisscross inter-block prediction in the DCT domain. J. Vis. Commun. Image Represent. 46, 33–47 (2017). https://doi.org/10.1016/j.jvcir.2017.03.009
Su, Q., Chen, B.: A novel blind color image watermarking using upper Hessenberg matrix. AEU Int. J. Electron. Commun. 78, 64–71 (2017). https://doi.org/10.1016/j.aeue.2017.05.025
Ko, H., Huang, C., Horing, G., et al.: Robust and blind image watermarking in DCT domain using inter-block coefficient correlation—ScienceDirect. Inf. Sci. 517, 128–147 (2020). https://doi.org/10.1016/j.ins.2019.11.005
Su, Q., Zhang, X., Wang, G.: An improved watermarking algorithm for color image using schur decomposition. Soft Comput. 24, 445–460 (2020). https://doi.org/10.1007/s00500-019-03924-5
Liu, D., Su, Q., Yuan, Z., et al.: A color watermarking scheme in frequency domain based on quaternary coding. Vis. Comput. 37, 2355–2368 (2020). https://doi.org/10.1007/s00371-020-01991-6
Hu, H., Hsu, L., Chou, H.: An improved SVD-based blind color image watermarking algorithm with mixed modulation incorporated—ScienceDirect. Inf. Sci. 519, 161–182 (2020). https://doi.org/10.1016/j.ins.2020.01.019
Liu, X., Lin, C., Yuan, S.: Blind dual watermarking for color images’ authentication and copyright protection. IEEE Trans. Circuits Syst. Video Technol. 28, 1047–1055 (2018). https://doi.org/10.1109/TCSVT.2016.2633878
Molina-Garcia, J., Garcia-Salgado, B.P., Ponomaryov, V., et al.: An effective fragile watermarking scheme for color image tampering detection and self-recovery. Signal Process. Image Commun. 81, 115725 (2019). https://doi.org/10.1016/j.image.2019.115725
Zhang, X., Su, Q., Yuan, Z., et al.: An efficient blind color image watermarking algorithm in spatial domain combining discrete Fourier transform. Optik 219, 165272 (2020). https://doi.org/10.1016/j.ijleo.2020.165272
Ma, Z., Zhang, W., Fang, H., et al.: Local geometric distortions resilient watermarking scheme based on symmetry. IEEE Trans. Circuits Syst. Video Technol. 31, 4826–4839 (2021). https://doi.org/10.1109/TCSVT.2021.3055255
Liu, D., Su, Q., Yuan, Z., et al.: A blind color digital image watermarking method based on image correction and eigenvalue decomposition. Signal Process. Image Commun. 95, 116292 (2021). https://doi.org/10.1016/j.image.2021.116292
Shen, Y., Tang, C., Chen, M., et al.: A DWT-SVD based adaptive color multi-watermarking scheme for copyright protection using AMEF and PSO-GWO. Expert Syst. Appl. 168, 114414 (2020). https://doi.org/10.1016/j.eswa.2020.114414
Sinhal, R., Jain, D., Ansari, I.: Machine learning based blind color image watermarking scheme for copyright protection. Pattern Recognit. Lett. 145, 171–177 (2021). https://doi.org/10.1016/j.patrec.2021.02.011
Mellimi, S., Rajput, V., Ansari, I.A., et al.: A fast and efficient image watermarking scheme based on deep neural network. Pattern Recognit. Lett. 151, 222–228 (2021). https://doi.org/10.1016/j.patrec.2021.08.015
Zhang, X., Su, Q.: A spatial domain-based color image blind watermarking scheme integrating multilevel discrete Hartley transform. Int. J. Intell. Syst. 36, 4321–4345 (2021). https://doi.org/10.1002/int.22461
Liu, D., Su, Q., Yuan, Z., et al.: A fusion-domain color image watermarking based on Haar transform and image correction. Expert Syst. Appl. 170, 114540 (2020). https://doi.org/10.1016/j.eswa.2020.114540
Su, Q., Zhang, X., Wang, H.: A blind color image watermarking algorithm combined spatial domain and SVD. Int. J. Intell. Syst. 11, 1–25 (2021). https://doi.org/10.1002/int.22738
Lorenz, E.N.: Deterministic nonperiodic flow. J. Atmos. Sci. 20, 130–141 (1963)
Da Cunha, A., et al.: The nonsubsampled contourlet transform: theory, design, and applications. IEEE Trans. Image Process. 15, 3089–3101 (2006). https://doi.org/10.1109/TIP.2006.877507
Liu, P., Wu, H., Luo, L., et al.: DT CWT and Schur decomposition based robust watermarking algorithm to geometric attacks. Multimed. Tools Appl. 81, 2637–2679 (2022). https://doi.org/10.1007/s11042-021-11532-5
University of Southern California, Signal and Inage Processing Institute: USC-SIPI Image Database, 1997 last accessed 2020/12/20. http://sipi.usc.edu/database/
University of Granada, Computer Vision Group: CVG-UGR Image Database, 2002 last Accessed 2020/12/20. http://decsai.ugr.es/cvg/dbimagenes/c512.php
Yuan, Z., Su, Q., Liu, D., et al.: A blind image watermarking scheme combining spatial domain and frequency domain. Vis. Comput. 37, 1867–1881 (2020). https://doi.org/10.1007/s00371-020-01945-y
Acknowledgements
The work was supported by the National Natural Science Foundations of China (Nos. 61771231, 62171209, 61772253, 61873117, 61872170 and 61803253), and the Key Project of Shandong Provincial Natural Science Foundation (No. ZR2020KF023).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Hu, F., Cao, H., Chen, S. et al. A robust and secure blind color image watermarking scheme based on contourlet transform and Schur decomposition. Vis Comput 39, 4573–4592 (2023). https://doi.org/10.1007/s00371-022-02610-2
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00371-022-02610-2