Abstract
The digital data nowadays is always in increase. This data may be secret data that should be kept and saved. Therefore, steganography algorithms are proposed to hide the important data text, image or video. This paper is proposing a steganography algorithm to hide a secret image in a video using the multi-resolution stationary wavelet transform (SWT) and the singular value decomposition (SVD). Three-resolution 3D SWT is performed to the cover video frames. Then, SVD is applied to one of the transform sub-bands. SVD is applied also to the secret image. Both singular matrices are embedded. At last, inverse transform is performed to get the stego-video. The results of image hiding in each resolution are compared, and hiding in the third resolution outperformed in peak signal-to-noise ratio (PSNR) value. The algorithm was tested using different color and grayscale images and showed promising qualitative and quantitative results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
C.P. Sumathi, T. Santanam, G. Umamaheswari, A study of various stenographic techniques used for information hiding. Int. J. Comput. Sci. Eng. Surv. (IJCSES) 4(6), 9–25 (2013)
Y. Liu, S. Liu, Y. Wang, H. Zhao, S. Liu, Video steganography: a review. Neurocomputing 335, 238–250 (2019)
R.J. Mstafa, K.M. Elleithy, E. Abdelfattah, Video steganography techniques: taxonomy, challenges, and future directions, in IEEE Long Island Systems, Applications and Technology Conference (LISAT), Farmingdale, NY, pp. 1–6 (2017)
N. Ahmed, T. Natarajan, K.R. Rao, Discrete cosine transforms. IEEE Trans. Comput. C-32, 90–93 (1974)
G. Amara, An Introduction to Wavelets. IEEE Comput. Sci. Eng. 2(2), 50–56 (1995)
S.W. Smith, The Scientist and Engineer’s Guide to Digital Signal Processing, pp. 141–167 (1999)
M.M. Sadek, A.S. Khalifa, M.G.M. Mostafa, Video steganography: a comprehensive review. Multimed. Tools Appl. 74, 7063–7094 (2015)
S. Kartik, A. Ashutosh, S. Tanay, G. Deepak, K. Ashish, Hiding data in images using cryptography and deep neural network. J. Artif. Intell. Syst. 1, 143–162 (2019)
S. Sarreshtedari, S. Ghaemmaghami, High capacity image steganography in wavelet domain, in 2010 7th IEEE Consumer Communications and Networking Conference, Las Vegas, NV, pp. 1–5 (2010)
S. Singh, R. Singh, T.J. Siddiqui, Singular value decomposition based image steganography using integer wavelet transform, in Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol. 425 (Springer, Cham, 2016)
M.S. Wang, W.C. Chen, A hybrid DWT-SVD copyright scheme based on K-mean clustering and visual cryptography. Comput. Standard Interf. 31(4), 750–762 (2009)
A.R. Calderbank, I. Daubechies, W. Sweldens, B.L. Yeo, Wavelet transforms that map integers to integers. Appl. Comput. Harmon. Anal. 5(3), 332–369 (1998)
R.J. Mstafa, K.M. Elleithy, E. Abdelfattah, A robust and secure video steganography method in DWT-DCT domains based on multiple object tracking and ECC. IEEE Access 5, 5354–5365 (2017)
S. Hemalatha, U. Dinesh Acharya, A. Renuka, Comparison of secure and high capacity color image steganography techniques in Rgb and Ycbcr domains. Int. J. Adv. Inf. Technol. (IJAIT) 3, 3 (2013)
Y. Kakde, P. Gonnade, P. Dahiwale, Audio-video steganography. International Conference on Innovations in Information, in Embedded and Communication Systems (ICIIECS), Coimbatore, pp. 1–6 (2015)
A. Hamsathvani, Image hiding in video sequence based on MSE. Int. J. Electron. Comput. Sci. Eng. (2012)
A. Danti, G.R. Manjula, B.M. Pallavi, Wavelet based color video steganography using sequence and random technique. Int. J. Eng. Appl. Sci. Technol. 1(8), 294–298 (2016). ISSN No. 2455-2143
K. Swaraja, Y. Madhaveelatha, V.S.K. Reddy, Robust video watermarking by amalgamation of Image transforms and optimized firefly algorithm. Int. J. Appl. Eng. Res. 11(1), 216–225 (2016)
K. Swaraja, Protection of medical image watermarking. J. Adv. Res. Dyn. Control Syst. (JARDCS), Special Issue 11 (2017)
T. Yasasvy, K. Venkat Sushil, K. Meenakshi, K. Swaraja, P. Kora, A hybrid blind watermarking with redundant discrete wavelet and hadamard transform. Int. J. Innov. Technol. Explor. Eng. (IJITEE). 8(11), (2019). ISSN: 2278-3075
O.G. Sundararajan, The Discrete Stationary Wavelet Transform: A Signal Processing Approach. Chapter 13, pp. 234–246 (2015)
J.-L. Starck, J. Fadili, F. Murtagh, The undecimated wavelet decomposition and its reconstruction. IEEE Trans. Image Process 16(2), 297–309 (2007)
A.G. George, A.K. Prabavathy, A survey on different approaches used in image quality assessment. Int. J. Emerg. Technol. Adv. Eng. 3(2), 197–203 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
El-Shahed, R.A., Al-Berry, M.N., Ebeid, H.M., Shedeed, H.A. (2022). Multi-resolution Video Steganography Technique Based on Stationary Wavelet Transform (SWT) and Singular Value Decomposition (SVD). In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1394. Springer, Singapore. https://doi.org/10.1007/978-981-16-3071-2_15
Download citation
DOI: https://doi.org/10.1007/978-981-16-3071-2_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3070-5
Online ISBN: 978-981-16-3071-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)