Hybrid Watermarking Scheme with Dual Encryption and Channel Coding in YCbCr Color Space

Kiranjit Kaur; Dinesh Kumar

doi:10.17485/IJST/v14i14.85

Article

Hybrid Watermarking Scheme with Dual Encryption and Channel Coding in YCbCr Color Space

VIEWS 1159
PDF 218

Indian Journal of Science and Technology

DOI: 10.17485/IJST/v14i14.85

Year: 2021, Volume: 14, Issue: 14, Pages: 1139-1159

Original Article

Hybrid Watermarking Scheme with Dual Encryption and Channel Coding in YCbCr Color Space

Kiranjit Kaur¹, Dinesh Kumar^2*

¹Research Scholar-CSE, DAV Institute of Engineering & Technology, Jalandhar, India
²Associate Professor & Head -IT, DAV Institute of Engineering & Technology, Jalandhar, India

*Corresponding Author
Email: [email protected]

Received Date:14 January 2021, Accepted Date:06 April 2021, Published Date:26 April 2021

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: This study aims to Improve and Secure the watermarking scheme with dual encryption (chaotic maps and Arnold transform) and channel coding in YCbCr color space with embedding and extraction procedure. Methods: In this scheme, the cover watermarked image is encoded and the singular value is decomposed by singular value decomposition (SVD). The four levels of Discrete Wavelet Transform (DWT) are applied after that, the singular value matrixes are embedded into the Y, Cb, Cr components of the host image.The embedding factor for each component is calculated with singular vectors of the hl sub-band of DWT with bit selection automatically by Gray level co-occurrence matrix (GLCM). In this paper, the GLCM technique is used to enhance the performance of a watermarked image affected by degradation with the DWT method. An inefficient approach is chosen randomly for image embedding which is bit selection. There is degradation in the quality of the watermark image when randomly selecting the bits. To dynamically choose the embedding bit, this research applies the Grey Level Co-occurrence Matrix method. Findings: Different performance parameters like Mean Squared Error (MSE), Peak Signal to Noise ratio (PSNR), Bit Error Rate (BER), Normalized correlation coefficient (NCC), and Mean Structural Similarity Index Measure (MSSIM) has been used to compare the effectiveness of the proposed scheme. The achieved outcomes show that when applying dual encryption and FFT (Fast Fourier Transform) with the GLCM, around 10 to 15 percent improvement in the results can be obtained. Novelty: We have proposed a hybrid watermarking scheme with Chaotic maps, Arnold transform and Fast Fourier transform in YCbCr color space.

Keywords: Encryption; Discrete wavelet transform; Singular value decomposition; Chaotic map; Arnold transforms; Channel coding

References

Tan Y, Qin J, Xiang X, Ma W, Pan W, Xiong NN. A Robust Watermarking Scheme in YCbCr Color Space Based on Channel Coding. IEEE Access. 2019;7:25026–25036. Available from: https://dx.doi.org/10.1109/access.2019.2896304
Pereira S, Pun T. Robust template matching for affine resistant image watermarks. IEEE Transactions on Image Processing. 2000;9(6):1123–1129. Available from: https://dx.doi.org/10.1109/83.846253
Radharani S, Valarmathi ML. Article: A Study on Watermarking Schemes for Image Authentication. International Journal of Computer Applications. 2010;2(4):24–32. doi: 10.5120/658-925
Potdar V, Han, Song, Chang E, Dillon T, Yu X, et al. 2005.
Chaturvedi DSJ, Basha. Comparison of Digital Image watermarking Methods DWT & DWT-DCT on the basis of PSNR. International Journal of Innovative Research in Science, Engineering and Technology. 2012;1:2319–8753.
Muhammad N, Bibi N. Digital image watermarking using partial pivoting lower and upper triangular decomposition into the wavelet domain. IET Image Processing. 2015;9(9):795–803. doi: 10.1049/iet-ipr.2014.0395
Makbol NM, Khoo BE, Rassem TH. Block‐based discrete wavelet transform‐singular value decomposition image watermarking scheme using human visual system characteristics. IET Image Processing. 2016;10(1):34–52. Available from: https://dx.doi.org/10.1049/iet-ipr.2014.0965
Sun J, Zheng C, Gao D. Lossless digital watermarking scheme for image maps. China Communications. 2014;11(8):125–130. Available from: https://dx.doi.org/10.1109/cc.2014.6911094
Tripathi A, , Arora K. Different Channel coding techniques in MIMO-OFDM. IOSR Journal of Electronics and Communication Engineering. 2014;9(5):65–68. Available from: https://dx.doi.org/10.9790/2834-09516568
Yadav U, Sharma JP, Sharma D, Sharma KP. Different Watermarking Techniques & its Applications: A Review. 2014;5(4):1288–1294.
Zhao J, Zhang N, Jia J, Wang H. Digital watermarking algorithm based on scale-invariant feature regions in non-subsampled contourlet transform domain. Journal of Systems Engineering and Electronics. 2015;26(6):1309–1314. Available from: https://dx.doi.org/10.1109/jsee.2015.00143
Parah SA, Ahad F, Sheikh JA, Bhat G. On the realization of robust watermarking system for medical images. In: Annual IEEE. (pp. 1-5) 2015.
Andalibi M, Chandler DM. Digital Image Watermarking via Adaptive Logo Texturization. IEEE Transactions on Image Processing. 2015;24(12):5060–5073. Available from: https://dx.doi.org/10.1109/tip.2015.2476961
Chang C, Shen J. Features Classification Forest: A Novel Development that is Adaptable to Robust Blind Watermarking Techniques. IEEE Transactions on Image Processing. 2017;26(8):3921–3935. doi: 10.1109/TIP.2017.2706502
S. SS, , A. R, . Data hiding in encrypted images using Arnold transform. ICTACT Journal on Image and Video Processing. 2016;7(1):1339–1344. Available from: https://dx.doi.org/10.21917/ijivp.2016.0194
Parah SA, Sheikh JA, Dey N, Bhat GM. Realization of a New Robust and Secure Watermarking Technique Using DC Coefficient Modification in Pixel Domain and Chaotic Encryption. Journal of Global Information Management. 2017;25(4):80–102. Available from: https://dx.doi.org/10.4018/jgim.2017100106
Parah SA, Sheikh JA, Ahad F, Bhat GM. High Capacity and Secure Electronic Patient Record (EPR) Embedding in Color Images for IoT Driven Healthcare Systems. Internet of Things and Big Data Analytics Toward Next-Generation Intelligence. 2018;30:409–437. Available from: https://doi.org/10.1007/978-3-319-60435-0_17
Hurrah NN, Parah SA, Loan NA, Sheikh JA, Elhoseny M, Muhammad K. Dual watermarking framework for privacy protection and content authentication of multimedia. Future Generation Computer Systems. 2019;94:654–673. Available from: https://dx.doi.org/10.1016/j.future.2018.12.036
Ishtiaq M, Ali W, Shahzad W, Jaffar MA, Nam Y. Hybrid Predictor Based Four-Phase Adaptive Reversible Watermarking. IEEE Access. 2018;6:13213–13230. Available from: https://dx.doi.org/10.1109/access.2018.2803301
Loan NA, Hurrah NN, Parah SA, Lee JW, Sheikh JA, Bhat GM. Secure and Robust Digital Image Watermarking Using Coefficient Differencing and Chaotic Encryption. IEEE Access. 2018;6:19876–19897. Available from: https://dx.doi.org/10.1109/access.2018.2808172
Shehab A, Elhoseny M, Muhammad K, Sangaiah AK, Yang P, Huang H. Guolin Hou Secure and Robust Fragile Watermarking Scheme for Medical Images. IEEE Access. 2018;6:10269–10278. doi: 10.1109/ACCESS.2018.2799240
Jain P, Ghanekar U. Robust watermarking technique for textured images. Procedia Computer Science. 2018;125:179–186. Available from: https://dx.doi.org/10.1016/j.procs.2017.12.025
Ahmaderaghi B, Kurugollu F, Rincon JMD, Bouridane A. Blind Image Watermark Detection Algorithm Based on Discrete Shearlet Transform Using Statistical Decision Theory. IEEE Transactions on Computational Imaging. 2018;4(1):46–59. Available from: https://dx.doi.org/10.1109/tci.2018.2794065
Ernawan F, Nomani MK. A Robust Image Watermarking Technique with an Optimal DCT-Psychovisual Threshold. IEEE Access. 20480;6:20464–20480. doi: 10.1109/ACCESS.2018.2819424
Sadreazami H, Amini AM. A Robust Image Watermarking Scheme Using Local Statistical Distribution in the Contourlet Domain. IEEE Transactions on Circuits and Systems II: Express Briefs. 2019;66(1):151–155. Available from: https://dx.doi.org/10.1109/tcsii.2018.2846547
Roy A, Maiti AK, Ghosh K. An HVS Inspired Robust Non-blind Watermarking Scheme in YCbCr Color Space. International Journal of Image and Graphics. 2018;18(03):1850015. Available from: https://dx.doi.org/10.1142/s0219467818500158
Pandey MK, Parmar G, Gupta R, Sikander A. Non-blind Arnold scrambled hybrid image watermarking in YCbCr color space. Microsystem Technologies. 2018;25:3071–3081 . Available from: https://doi.org/10.1007/s00542-018-4162-1
Alawida M, Samsudin A, Teh JS, Alkhawaldeh RS. A new hybrid digital chaotic system with applications in image encryption. Signal Processing. 2019;160:45–58. Available from: https://dx.doi.org/10.1016/j.sigpro.2019.02.016
Yang YG, Zou L, Zhou YH, Shi WM. Visually meaningful encryption for color images by using Qi hyper-chaotic system and singular value decomposition in YCbCr color space. Optik. 2020;213:164422. Available from: https://doi.org/10.1016/j.ijleo.2020.164422
Zheng Q, Liu N, Wang F. An Adaptive Embedding Strength Watermarking Algorithm Based on Shearlets. Capture Directional Features. Mathematics. 2020;8(8):1377. doi: 10.3390/math8081377
Singh PK, Jana B, Datta K. Superpixel based robust reversible data hiding scheme exploiting Arnold transform with DCT and CA. Journal of King Saud University - Computer and Information Sciences. 2020. Available from: https://dx.doi.org/10.1016/j.jksuci.2020.09.014
Kamili A, Hurrah NN, Parah SA, Bhat GM, Muhammad K. DWFCAT: Dual Watermarking Framework for Industrial Image Authentication and Tamper Localization. IEEE Transactions on Industrial Informatics. 2021;17(7):5108–5117. Available from: https://dx.doi.org/10.1109/tii.2020.3028612

Copyright

© 2021 Kaur & Kumar.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)