A secure fractional-order polar harmonic transforms based image watermarking scheme using funk singular value decomposition

Abstract

In addition to existing cryptographic systems, watermarking technologies have been developed to add extra security. Digital watermarking utilizes embedding or hiding techniques to protect multimedia files from copyright violations. Fundamental procedures of digital watermarking techniques are embedding and extraction. Singular value decomposition (SVD) based Image watermarking schemes become popular owing to its better trade-off among robustness and imperceptibility. Nevertheless, false positive problem (FPP) is a major issue of SVD-based watermarking schemes. The singular value that is a fixed value and does not contain structural information about image is the primary cause of FPP problem. Therefore, Message Digest algorithm image watermarking scheme based on Funk Singular Value Decomposition and Fractional-Order Polar Harmonic Transform (FSVD-FOPHT) is proposed in this paper to address this problem. The MD-5 algorithm is used to extract data from the host and watermark imageries and then create secret key. The FSVD-FOPHT method is utilized to hide watermark information in host image. The secret keys are extracted from hided image using inverse process of Fractional-Order Polar Harmonic Transforms with Funk Singular Value Decomposition algorithm. By using the extraction procedure, watermark image is extracted, and then reconstructs original watermarked image. During extraction procedure, the secret key is used for authentication to address FPP. Then, the proposed method is implemented in MATLAB and performance is analyzed with evaluation metrics, such as Embedding capacity, MSE, PSNR, and NC. The proposed method provide 14.6%, 17.34%, 19.53%, 21.46% and 23.89% high PSNR for cold-snow-landscape-water test image, 14.29%, 16.47%, 18.39%, 20.16% and 21.93% high PSNR for landscape-nature-sky-blue Test image, 16.85%, 19.99%, 22.70%, 27.22% and 29.16% high Embedding Capacity for cold-snow-landscape-water test image 22.83%, 24.64%, 27.92%, 29.60% and 31.77% high Embedding Capacity for landscape-nature-sky-blue Test image 35.38%, 32.63%, 30.95%, 28.61% and 26.08% low extraction time compared with existing methods SVD-CMSF-SIW, FE-IWS-DNN, AR-IWS-DNN, BBET-SHA1-SIW and LSB-DWT-SIW respectively.

Keywords

Fractional-order polar harmonic transforms funk singular value decomposition embedding and extraction message digest algorithm secure image watermarking

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References

Fatahbeygi

and Tab

F.A.

, A highly robust and secure image watermarking based on classification and visual cryptography, Journal of Information Security and Applications 45 (2019), 71–78.

Rachmawanto

E.H.

, Sari

C.A.

and Rijati

, Imperceptible and secure image watermarking using DCT and random spread technique, Telkomnika 17(4) (2019).

Ray

and Roy

, Recent trends in image watermarking techniques for copyright protection: A survey, International Journal of Multimedia Information Retrieval 9(4) (2020), 249–270.

, Liu

, Yuan

, Wang

, Zhang

, Chen

and Yao

, New rapid and robust color image watermarking technique in spatial domain, IEEE Access 7 (2019), 30398–30409.

Shajin

F.H.

, Rajesh

and Raja

M.R.

, An efficient VLSI architecture for fast motion estimation exploiting zero motion prejudgment technique and a new quadrant-based search algorithm in HEVC, Circuits, Systems, and Signal Processing 41(3) (2022), 1751–1774.

Shajin

F.H.

, Rajesh

and Rao

V.K. Nagoji

, Efficient framework for brain tumour classification using hierarchical deep learning neural network classifier, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2022), 1–8.

Rajesh

, Shajin

F.H.

and Kumaran

G.K.

, An efficient IWOLRS control technique of brushless DC motor for torque ripple minimization, Applied Science and Engineering Progress 15(3) (2022), 5514–5514.

Rajesh

, Shajin

F.H.

and Kannayeram

, A novel intelligent technique for energy management in smart home using internet of things, Applied Soft Computing 128 (2022), 109442.

Singh

O.P.

, Singh

A.K.

, Srivastava

and Kumar

, Image watermarking using soft computing techniques: A comprehensive survey, Multimedia Tools and Applications 80(20) (2021), 30367–30398.

10.

Sehra

, Raut

, Mishra

, Kasturi

, Wadhera

, Saxena

G.J.

and Saxena

, Robust and secure “digital image watermarking technique using arnold transform and memristive chaotic oscillators, IEEE Access 9 (2021), 72465–72483.

11.

Hurrah

N.N.

, Parah

S.A.

and Sheikh

J.A.

, A secure medical image watermarking technique for e-healthcare applications, In Handbook of Multimedia Information Security: Techniques and Applications, Springer, Cham 2019, pp. 119–141.

12.

Sabbane

and Tairi

, Medical image watermarking technique based on polynomial decomposition, Multimedia Tools and Applications 78(23) (2019), 34129–34155.

13.

Kumar

and Sharma

, A robust image watermarking technique usingfeature optimization and cascaded neural network, InternationalJournal of Computer Science and Information Security (IJCSIS) 18(8) (2019), 36–45.

14.

Aparna

and Kishore

P.V.V.

, Biometric-based efficient medical image watermarking in E-healthcare application, IET Image Processing 13(3) (2019), 421–428.

15.

Kumar

and Singh

B.K.

, Entropy based spatial domain image watermarking and its performance analysis, Multimedia Tools and Applications 80(6) (2019), 9315–9331.

16.

Ariatmanto

and Ernawan

, An improved robust image watermarking by using different embedding strengths, Multimedia Tools and Applications 79(17) (2020), 12041–12067.

17.

Kumar

, Singh

A.K.

, Kumar

, Singh

and Singh

, SPIHT-based multiple image watermarking in NSCT domain, Concurrency and Computation: Practice and Experience 32(1) (2020), e4912.

18.

Pandey

M.K.

, Parmar

, Gupta

and Sikander

, Non-blind Arnold scrambled hybrid image watermarking in YCbCr color space, Microsystem Technologies 25(8) (2019), 3071–3081.

19.

Begum

and Uddin

M.S.

, Analysis of digital image watermarking techniques through hybrid methods, Advances in Multimedia (2020).

20.

Thanki

, Kothari

and Borra

, Hybrid, blind and robust image watermarking: RDWT– NSCT based secure approach for telemedicine applications, Multimedia Tools and Applications 80(18) (2021), 27593–27613.

21.

Firmansyah

S.D.

and Purnama

R.A.

, Quality of Service Gateway Load Balancing Protocol Message Digest Algorithm 5 Authentication untuk Peningkatan Kualitas Jaringan UrnalTek Inform, STMIK Antar Bangsa 5(1) (2019), 45–50.

22.

Guo

, Yin

S.C.

, Zhang

Y.W.

, Li

and He

, Cold start recommendation based on attribute-fused singular value decomposition, IEEE Access 7 (2019), 11349–11359.

23.

Hosny

K.M.

, Darwish

M.M.

and Aboelenen

, Novel fractional-order polar harmonic transforms for gray-scale and color image analysis, Journal of the Franklin Institute 357(4) (2020), 2533–2560.

24.

Zainol

, The

J.S.

and Alawida

, A new chaotic image watermarking scheme based on SVD and IWT, IEEE Access 8 (2020), 43391–43406.

25.

Mellimi

, Rajput

, Ansari

I.A.

and Ahn

C.W.

, A fast and efficient image watermarking scheme based on deep neural network, Pattern Recognition Letters 151 (2021), 222–228.

26.

Zhong

, Huang

P.C.

, Mastorakis

and Shih

F.Y.

, An automated and robust image watermarking scheme based on deep neural networks, IEEE Transactions on Multimedia 23 (2020), 1951–1961.

27.

Khare

and Srivastava

V.K.

, A reliable and secure image watermarking algorithm using homomorphic transform in DWT domain, Multidimensional Systems and Signal Processing 32(1) (2021), 131–160.

28.

Gao

and Chen

, A robust and secure image watermarking scheme using SURF and improved Artificial Bee Colony algorithm in DWT domain, Optik 242 (2021), 166954.

29.

Singh

P.K.

, Robust and imperceptible image watermarking technique based on SVD, DCT, BEMD and PSO in wavelet domain, Multimedia Tools and Applications (2021), 1–26.

30.

Garg

and Rama

, Kishore, An improved and secured digital image watermarking technique using DCT, fuzzy entropy and image scrambling in hybrid domain, Journal of Discrete Mathematical Sciences and Cryptography 23(1) (2020), 177–186.

31.

https://www.kaggle.com/datasets/felicepollano/watermarked-not-watermarked-images.

32.

Bhalerao

, Ansari

I.A.

and Kumar

, A secure image watermarking for tamper detection and localization, Journal of Ambient Intelligence and Humanized Computing 12(1) (2021), 1057–1068.

33.

Kumar

, A review on implementation of digital image watermarking techniques using LSB and DWT, Information and Communication Technology for Sustainable Development (2020), 595–602.

34.

Hatoum

M.W.

, Couchot

M.W.

, Couturier

and Darazi

, Using deep learning for image watermarking attack, Signal Processing: Image Communication 90 (2021), 116019.

35.

, Fei

, Xia

, Tong

, Weng

and Liu

, A screen-shooting resilient document image watermarking scheme using deep neural network,, IET Image Processing 17(2) (2023), 323–336.

36.

, Xia

, Fei

, Tong

, Weng

and Li

, A robust document image watermarking scheme using deep neural network,, Multimedia Tools and Applications (2023), 1–24.