Secure image steganography using framelet transform and bidiagonal SVD

Steganography and steganalysis are the prominent research fields in information hiding paradigm. This work presents a novel framelet transform based image steganography scheme that hides a secret image into cover image. Perfect reconstruction, sparsity, and stability enables framelet transform to be considered as suitable decomposition technique to obtain transform coefficients. The scheme also benefits from bidiagonal singular value decomposition. Secret information is embedded in singular values of framelet coefficients and stego is obtained. A variety of experiments is conducted to judge the efficacy of proposed method. Simulation results prove that stego images possess better visual quality and are robust to several popular image processing operations. Security performance of proposed method is investigated using various steganalysis schemes that include Gabor filter based, wavelet based and contourlet based steganalysis. Detection accuracy is found to be poor in all cases and confirms the undetectability.

[1]  Fawzi M. Al-Naima,et al.  A modified high capacity image steganography technique based on wavelet transform , 2010, Int. Arab J. Inf. Technol..

[2]  Ibrahim Kamel,et al.  Enhanced high capacity image steganography using discrete wavelet transform and the Laplacian pyramid , 2018, Multimedia Tools and Applications.

[3]  Emlon Ghosh,et al.  Blind RGB Image Steganography Using Discrete Cosine Transformation , 2018, Advances in Intelligent Systems and Computing.

[4]  Yuan Li,et al.  RETRACTED ARTICLE: Image steganography using cosine transform with large-scale multimedia applications , 2018, Multimedia Tools and Applications.

[5]  Andrew D. Ker.  The Square Root Law of Steganography: Bringing Theory Closer to Practice , 2017, IH&MMSec.

[6]  Safya Belghith,et al.  A new adaptive image steganography scheme based on DCT and chaotic map , 2017, Multimedia Tools and Applications.

[7]  Bin Li,et al.  A Survey on Image Steganography and Steganalysis , 2011, J. Inf. Hiding Multim. Signal Process..

[8]  Yi Zhang,et al.  Steganalysis of Adaptive JPEG Steganography Using 2D Gabor Filters , 2015, IH&MMSec.

[9]  Hamidreza Rashidy Kanan,et al.  A novel image steganography scheme with high embedding capacity and tunable visual image quality based on a genetic algorithm , 2014, Expert Syst. Appl..

[10]  Madhuri S. Joshi,et al.  An Image Steganography Method Hiding Secret Data into Coefficients of Integer Wavelet Transform Using Pixel Value Differencing Approach , 2015 .

[11]  Reeba Korah,et al.  A Framework of Secured Embedding Scheme Using Vector Discrete Wavelet Transformation and Lagrange Interpolation , 2018, J. Comput. Networks Commun..

[12]  Mohammad Rahmati,et al.  Steganography in discrete wavelet transform based on human visual system and cover model , 2019, Multimedia Tools and Applications.

[13]  Fawzi M. Al-Naima,et al.  High Capacity Image Steganography Based on Curvelet Transform , 2011, 2011 Developments in E-systems Engineering.

[14]  Vijay H. Mankar,et al.  Image steganography using redundant discrete wavelet transform and QR factorization , 2016, Comput. Electr. Eng..

[15]  Gabriel Bugar,et al.  A novel method of image steganography in DWT domain , 2011, Proceedings of 21st International Conference Radioelektronika 2011.

[16]  Amir-Masoud Eftekhari-Moghadam,et al.  An adaptive image steganographic scheme based on Noise Visibility Function and an optimal chaotic based encryption method , 2015, Appl. Soft Comput..

[17]  Siwei Lyu,et al.  Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines , 2002, Information Hiding.

[18]  Barnali Gupta Banik,et al.  Multiple RGB Image Steganography Using Arnold and Discrete Cosine Transformation , 2018, Advances in Intelligent Systems and Computing.

[19]  Nilanjan Dey,et al.  Secure transmission and integrity verification of color radiological images using fast discrete curvelet transform and compressive sensing , 2019, Smart Health.

[20]  J. Shanbehzadeh,et al.  High Capacity Image Steganography usingWavelet Transform and Genetic Algorithm , 2011 .

[21]  Vijay H. Mankar,et al.  Current status and key issues in image steganography: A survey , 2014, Comput. Sci. Rev..

[22]  Hadeel N. Al-Taai,et al.  A Novel Fast Computing Method for Framelet Coefficients , 2008 .

[23]  Hedieh Sajedi,et al.  CBS: Contourlet-Based Steganalysis Method , 2010, J. Signal Process. Syst..

[24]  Gustavus J. Simmons,et al.  The Prisoners' Problem and the Subliminal Channel , 1983, CRYPTO.

[25]  Ross J. Anderson,et al.  On the limits of steganography , 1998, IEEE J. Sel. Areas Commun..

[26]  Xintao Duan,et al.  Coverless information hiding based on Generative Model , 2018, ArXiv.

[27]  Jessica Fridrich,et al.  Steganography With Multiple JPEG Images of the Same Scene , 2017, IEEE Transactions on Information Forensics and Security.

[28]  Rohit M. Thanki,et al.  A color image steganography in hybrid FRT-DWT domain , 2018, J. Inf. Secur. Appl..

[29]  Zahid Mahmood,et al.  Blind data hiding technique using the Fresnelet transform , 2015, SpringerPlus.

[30]  Jamshid Shanbehzadeh,et al.  High Capacity Image Steganography Based on Genetic Algorithm and Wavelet Transform , 2012 .

[31]  Ahmed Fouad Ali,et al.  Hybrid Curvelet Transform and Least Significant Bit for image steganography , 2015, 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS).

[32]  Amir-Masoud Eftekhari-Moghadam,et al.  Digital Image Steganography Based on Integer Wavelet Transform and Assignment Algorithm , 2012, 2012 Sixth Asia Modelling Symposium.

[33]  Ehsan Akhtarkavan,et al.  A image steganography scheme based on discrete wavelet transform using lattice vector quantization and reed-solomon encoding , 2015, 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI).

[34]  Marek R. Ogiela,et al.  False and multi-secret steganography in digital images , 2015, Soft Comput..

[35]  S. Uma Maheswari,et al.  Frequency domain QR code based image steganography using Fresnelet transform , 2015 .

[36]  Moyan Xiao,et al.  High capacity image steganography method based on framelet and compressive sensing , 2015, International Symposium on Multispectral Image Processing and Pattern Recognition.

[37]  Bee Ee Khoo,et al.  A new robust lossless data hiding scheme and its application to color medical images , 2015, Digit. Signal Process..

[38]  Zuowei Shen,et al.  Multiresolution and wavelets , 1994, Proceedings of the Edinburgh Mathematical Society.

[39]  Ibrahim Kamel,et al.  High-capacity steganography: a global-adaptive-region discrete cosine transform approach , 2017, Multimedia Tools and Applications.

[40]  Zhengping Wu,et al.  Highly secure image steganography algorithm using curvelet transform and DCT encryption , 2015, 2015 Long Island Systems, Applications and Technology.

[41]  S. Hemalatha,et al.  A Secure Color Image Steganography In Transform Domain , 2013, ArXiv.