Digital Image Steganography Scheme Based on DWT and SVD
Keywords:
Steganography, Cryptography, Transform domain, Robustness, Imperceptibility, DWTAbstract
In this work, a grayscale image steganography scheme is proposed using a discrete wavelet transform (DWT) and singular value decomposition (SVD). In this scheme, 2-level DWT is applied to a cover image to obtain the high frequency band HL2 which is utilized to embed a secret grayscale image based on the SVD technique. The robustness and the imperceptibility of the proposed steganography algorithm are controlled by a scaling factor for obtaining an acceptable trade-off between them. Peak signal to noise ratio (PSNR) and Structural Similarity Index Measure (SSIM) are used for assessing the efficiency of the proposed approach. Experimental results demonstrate that the proposed scheme still holds its validity under different known attacks such as noise addition, filtering, cropping and JPEG compression.
Downloads
References
V. Reshma, S. J. Gladwin and C. Thiruvenkatesan, Pairing-Free CP-ABE based Cryptography Combined with Steganography for Multimedia Applications, 2019 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, pp. 0501-0505, 2019.
Ghazwan Jabbar Ahmed, Adel Jalal Yousif and Fadhil Kadhim Zaidan, A Digital Image Watermarking Scheme based on Discrete Cosine Transform, Journal of Engineering and Applied Sciences ,Volume 14, Issue 16, pp 5762-5768, 2019.
Adel Jalal Yousif, Image Steganography Based on Wavelet Transform and Color Space Approach, Diyala Journal of Engineering Sciences, Vol. 13, No. 3, pp. 23-34, June 2020.
Ashty M. Aaref, Video Steganography Using LSB Substitution and Sobel Edge Detection, Diyala Journal of Engineering Sciences, Vol. 11, No. 2, pp. 67-73, June 2018.
S. Al-Azawi, A. Abedelkareem, Low complexity multilevel 2-D DHWT architecture. The second engineering scientific conference-college of engineering, Diyala University. Diyala Journal of Engineering Sciences. 8(4), pp. 493–500, 2015.
Adel Jalal Yousif, A Discrete Cosine Transform Based Watermarking Scheme For Color Image Using Ycbcr Space, Journal of Engineering and Sustainable Development Vol. 22, No.06, pp. 1-12, November 2018.
R.E. Vinodhini, P. Malathi and T.G. Kumar, A survey on DNA and image steganography, in: Proceedings of the 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), 2017.
D. N. Aini, D. R. I. Moses Setiadi, S. N. Putro, E. H. Rachmawanto and C. A. Sari, Survey of Methods in the Spatial Domain Image Steganography based Imperceptibility and Payload Capacity, 2019 International Seminar on Application for Technology of Information and Communication (iSemantic), Semarang, Indonesia, pp. 434-439, 2019.
S.S. Baawi, M.R. Mokhtar, and R. Sulaiman, A comparative study on the advancement of text steganography techniques in digital media, ARPN J. Eng. Appl. Sci. 13 pp. 1854–1863, 2018.
M. Parul and R. Harish, Optimized Image Steganography Using Discrete Wavelet Transform (DWT), International Journal of Recent Development in Engineering and Technology, vol. 2, no. 2, pp. 75–81, 2014.
O. Abodena, and M. Agoyi, Colour Image Blind Watermarking Scheme Based on Fast Walsh Hadamard Transform and Hessenberg Decomposition, Studies in Informatics and Control 27, pp.339-348, 2018.
HS Devi and KM Singh, Red-cyan anaglyph image watermarking using DWT, Hadamard transform and singular value decomposition for copyright protection, Journal of Information Security and Applications 50Elsevier, pp. 2214-2126, 2020.
M. S. Subhedar and V. H. Mankar, High capacity image steganography based on discrete wavelet transform and singular value decomposition, in Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies, ACM, pp. 1-7, 2014.
Dr. Rajaa aldeen Abad Khalid and Aman Ala'a Hussain, Multi-level Steganography System Using Wavelet Transform, Journal of Engineering and Sustainable Development Vol. 22, No. 03, pp. 50-61, May 2018.
HA Ilgin and A Akbulut, An Artifact Reduction Method for Block-Based Video Coding, Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering, pp. 1-13, 2020.
Muna M. Jawad, Dr. Ekbal H. Ali and Adel J. Yousif, A Fuzzy Random Impulse Noise Detection and Reduction Method Based on Noise Density Estimation, International Journal of Scientific & Engineering Research, Volume 5, Issue 3, pp. 455-468, March-2014.
M. Douglas, K. Bailey and M. Leeney, K. Curran, Using SVD and DWT Based Steganography to Enhance the Security of Watermarked Fingerprint Images, Telkomnika, vol. 13, pp. 1368-1379, June 2015.
Published
How to Cite
Issue
Section
Copyright (c) 2020 Fadhil Kadhim Zaidan
This work is licensed under a Creative Commons Attribution 4.0 International License.
