Abstract
The robust watermarking scheme has very broad application scenarios. For robust watermarking methods, the transform domain based watermarking algorithms are popular. Indeed, these algorithms have strong robustness, but the visual effects may be affected. In order to balance the robustness and imperceptibility, a histogram based watermarking scheme is proposed. In this scheme, in order to enhance the robustness and imperceptibility, the low-frequency construction method (LFCM) is proposed. In LFCM, the most suitable pixels for modifications are selected by calculating the weights of pixels at different positions, and these pixels will be modified in the histogram based embedding process. After the modification, the low-frequency of the image will enhance, and the robustness of the watermarking will enhance at the same time. Experiment results show that the proposed scheme can resist compression, scaling, noise, and median blur attacks, and can resist rotation attacks to a certain extent. The proposed scheme is a non-blind watermarking scheme, and non-blind watermarking scheme is feasible when this scheme has good performance.
Similar content being viewed by others
References
Ali M, Ahn CW, Pant M (2014) A robust image watermarking technique using SVD and differential evolution in DCT domain. Optik-Int J Light Electron Optics 125(1):428–434
Chen F, He H, Huo Y (2017) Self-embedding watermarking scheme against JPEG compression with superior imperceptibility. Multimed Tools Appl 76(7):9681–9712
Cox IJ, Kilian J, Leighton FT, Shamoon T (1997) Secure spread spectrum watermarking for multimedia. IEEE Trans Image Process 6(12):1673–1687
Das C, Panigrahi S, Sharma VK, Mahapatra K (2014) A novel blind robust image watermarking in DCT domain using inter-block coefficient correlation. AEU-Int J Electron Commun 68(3):244–253
Das S, Banerjee M, Chaudhuri A (2017) An improved DCT based image watermarking robust against JPEG compression and other attacks. Int J Image Graph Signal Process 9(9):40
Dragoi I-C, Coltuc D (2014) Local-prediction-based difference expansion reversible watermarking. IEEE Trans Image Process 23(4):1779–1790
Fazli S, Moeini M (2016) A robust image watermarking method based on DWT, DCT, and SVD using a new technique for correction of main geometric attacks. Optik-Int J Light Electron Optics 127(2):964–972
Honsinger C (2002) Digital watermarking. J Electron Imaging 11(3):414
Huang J, Shi YQ, Shi Y (2000) Embedding image watermarks in DC components. IEEE trans circuits syst video technol 10(6):974–979
Kang X, Huang J, Shi YQ, Lin Y (2003) A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression. IEEE trans circuits syst video technol 13(8):776–786
Lee Y-S, Seo Y-H, Kim D-W (2019) Digital blind watermarking based on depth variation prediction map and DWT for DIBR free-viewpoint image. Signal Process Image Commun 70:104–113
Lin SD, Shie S-C, Guo JY (2010) Improving the robustness of DCT-based image watermarking against JPEG compression. Comput Standards Interfaces 32(1–2):54–60
Liu F, Liu Y (2008) A watermarking algorithm for digital image based on DCT and SVD. In: Image and Signal Processing, IEEE. pp.380–383
Liu F, Han K, Zheng Wang C (2009) A novel blind watermark algorithm based on SVD and DCT. In: Intelligent Computing and Intelligent Systems, IEEE. pp.283–286
Lo C-C, Hu Y-C (2014) A novel reversible image authentication scheme for digital images. Signal Process 98:174–185
Makbol NM, Khoo BE (2013) Robust blind image watermarking scheme based on redundant discrete wavelet transform and singular value decomposition. AEU-Int J Electron Commun 67(2):102–112
Niu X-M, Lu Z-M, Sun S-H (2000) Digital watermarking of still images with gray-level digital watermarks. IEEE Trans Consum Electron 46(1):137–145
Ou B, Li X, Zhao Y, Ni R, Shi Y-Q (2013) Pairwise prediction-error expansion for efficient reversible data hiding. IEEE Trans Image Process 22(12):5010–5021
Parah SA, Sheikh JA, Loan NA, Bhat GM (2016) Robust and blind watermarking technique in DCT domain using inter-block coefficient differencing. Digital Signal Process 53:11–24
Pizzolante R, Castiglione A, Carpentieri B, De Santis A, Palmieri F, Castiglione A (2018) On the protection of consumer genomic data in the internet of living things. Comput Secur 74:384–400
Preda R, Vizireanu D (2015) Watermarking-based image authentication robust to JPEG compression. Electron Lett 51(23):1873–1875
Qin C, Ji P, Zhang X, Dong J, Wang J (2017) Fragile image watermarking with pixel-wise recovery based on overlapping embedding strategy. Signal Process 138:280–293
Qin C, Ji P, Chang C-C, Dong J, Sun X (2018) Non-uniform watermark sharing based on optimal iterative BTC for image tampering recovery. IEEE Multimed 25(3):36–48
Schaefer G, Stich M (2003) UCID: An uncompressed color image database. In: Storage and Retrieval Methods and Applications for Multimedia 2004. International Society for Optics and Photonics 472–480
Singh AK, Dave M, Mohan A (2016) Hybrid technique for robust and imperceptible multiple watermarking using medical images. Multimed Tools Appl 75(14):8381–8401
Wallace GK (1992) The JPEG still picture compression standard. IEEE Trans Consum Electron 38(1):xviii–xxxiv
Xiang S, Kim HJ, Huang J (2008) Invariant image watermarking based on statistical features in the low-frequency domain. IEEE trans circuits syst video technol 18(6):777–790
Yadav B, Kumar A, Kumar Y (2018) A robust digital image watermarking algorithm using DWT and SVD. In: Soft Computing: Theories and Applications. Springer 25–36
Acknowledgments
This work was supported by Alibaba-Zhejiang University Joint Institute of Frontier Technologies.
Author information
Authors and Affiliations
Corresponding author
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
Fan, HY., Lu, ZM. & Liu, YL. A low-frequency construction watermarking based on histogram. Multimed Tools Appl 79, 5693–5717 (2020). https://doi.org/10.1007/s11042-019-08289-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-019-08289-3