article

LSB based non blind predictive edge adaptive image steganography

Authors:

Soumendu Chakraborty,

Anand Singh Jalal,

Charul BhatnagarAuthors Info & Claims

Multimedia Tools and Applications, Volume 76, Issue 6

Pages 7973 - 7987

https://doi.org/10.1007/s11042-016-3449-4

Published: 01 March 2017 Publication History

Abstract

Image steganography is the art of hiding secret message in grayscale or color images. Easy detection of secret message for any state-of-art image steganography can break the stego system. To prevent the breakdown of the stego system data is embedded in the selected area of an image which reduces the probability of detection. Most of the existing adaptive image steganography techniques achieve low embedding capacity. In this paper a high capacity Predictive Edge Adaptive image steganography technique is proposed where selective area of cover image is predicted using Modified Median Edge Detector (MMED) predictor to embed the binary payload (data). The cover image used to embed the payload is a grayscale image. Experimental results show that the proposed scheme achieves better embedding capacity with minimum level of distortion and higher level of security. The proposed scheme is compared with the existing image steganography schemes. Results show that the proposed scheme achieves better embedding rate with lower level of distortion.

References

[1]

Alattar M (2004) Reversible watermark using the difference expansion of a generalized integer transform. IEEE Trans Image Process 13(8):1147---1156

Digital Library

[2]

Böhme R (2010) Principles of modern steganography and steganalysis. In: Böhme R (ed) Advanced statistical steganalysis, 1st edn. Springer, Berlin Heidelberg, pp 11---77

[3]

Chang CC, Tai WL, Lin CC (2006) A reversible data hiding scheme based on side-match vector quantization. IEEE Trans Circuits Syst Video Technol 16(10):1301---1308

Digital Library

[4]

Cheddad, Condell J, Curran K, McKevitt P (2010) Digital image steganography: survey and analysis of current methods. Signal Process 90:727---752

Digital Library

[5]

Farid H (2002) Detecting hidden messages using higher-order statistical models. IEEE Image Process Int Conf Proc 2:905---908

[6]

Fridrich J, Goljan M, Du R (2001) Reliable detection of LSB steganography in color and grayscale images. In: Proceedings of the 2001 workshop on Multimedia and security, pp 27---30.

Digital Library

[7]

Harmsen J, Pearlman W (2003) Steganalysis of additive-noise modelable information hiding. SPIE Electron Imaging Conf Proc 5020:131---142

[8]

Hempstalk K (2006) Hiding behind corners: using edges in images for better steganography. In: Computing Women's Congress Proceedings, Hamilton, New Zealand

[9]

Hong W, Chen TS (2011) Reversible data embedding for high quality images using interpolation and reference pixel distribution mechanism. J Vis Commun Image Represent 22:131---140

Digital Library

[10]

Huang F, Li B, Huang J (2007) Attack LSB matching steganography by counting alteration rate of the number of neighborhood gray levels. IEEE Image Process Conf Proc 1:401---404

[11]

Huang F, Zhong Y, Huang J (2014) Improved algorithm of edge adaptive image steganography based on LSB matching revisited algorithm. Digital-forensics and watermarking. Lect Notes Comput Sci 8389:19---31

[12]

Hwang J, Kim JW, Choi JU (2006) A reversible watermarking based on histogram shifting. Lect Notes Comput Sci 4283:348---361

Digital Library

[13]

Kamstra L, Heijmans HJAM (2005) Reversible data embedding into images using wavelet techniques and sorting. IEEE Trans Image Process 14(12):2082---2090

Digital Library

[14]

Ker D (2005) Steganalysis of LSB matching in grayscale images. IEEE Signal Process Lett 12(6):441---444

[15]

Khosravi MJ, Naghsh-Nilchi AR (2014) A novel joint secret image sharing and robust steganography method using wavelet. Multimedia Systems 20(2):215---226

Digital Library

[16]

Kim K, Lee M, Lee H, Lee H (2009) Reversible data hiding exploiting spatial correlation between sub-sampled images. Pattern Recogn 42(11):3083---3096

Digital Library

[17]

Lin CC, Tai WL, Chang CC (2008) Multilevel reversible data hiding based on histogram modification of difference images. Pattern Recogn 41(12):3582---3591

Digital Library

[18]

Luo XY, Wang DS, Wang P, Liu FL (2008) A review on blind detection for image steganography. Signal Process 88:2138---2157

Digital Library

[19]

Luo L, Chen Z, Chen M, Zeng X, Xiong Z (2010) Reversible image watermarking using interpolation technique. IEEE Trans Inf Forensics Secur 5(1):187---193

Digital Library

[20]

Luo W, Huang F, Huang J (2010) Edge adaptive image steganography based on LSB matching revisited. IEEE Trans Inf Forensics Secur 5(2):201---214

Digital Library

[21]

Luo W, Huang F, Huang J (2011) A more secure steganography based on adaptive pixel value differencing scheme. Multimed Tools Appl 52(2---3):407---430

Digital Library

[22]

Mielikainen J (2006) LSB matching revisited. IEEE Signal Process Lett 13(5):285---287

[23]

Ni Z, Shi YQ, Ansari N, Su W (2006) Reversible data hiding. IEEE Trans Circuits Syst Video Technol 16(3):354---362

Digital Library

[24]

Ou D, Sun W (2014) High payload image steganography with minimum distortion based on absolute moment block truncation coding. Multimed Tools Appl.

Digital Library

[25]

Roy R, Changder S, Sarkar A, Debnath NC (2013) Evaluating image steganography techniques: future research challenges. In: Proceedings of International Conference on Computing, Management and Telecommunications (ComManTel), pp 309---314.

[26]

Thodi M, Rodríguez JJ (2007) Expansion embedding techniques for reversible watermarking. IEEE Trans Image Process 16(3):721---730

Digital Library

[27]

Tian J (2003) Reversible data embedding using a difference expansion. IEEE Trans Circuits Syst Video Technol 13(8):890---896

Digital Library

[28]

Tsai PY, Hu YC, Yeh HL (2009) Reversible image hiding scheme using predictive coding and histogram shifting. Signal Process 89(6):1129---1143

Digital Library

[29]

Ulutas G, Ulutas M, Nabiyev VV (2012) Secret image sharing with reversible capabilities. International Journal of Internet Technology and Secured Transactions 4(1):1---11

Digital Library

[30]

Vetterli M (1987) A theory of multirate filter banks. IEEE Trans Acoust Speech Signal Process 35(3):356---372

[31]

Walton S (1995) Image authentication for a slippery new age. Dr Dobbs J Softw Tools Prof Program 20:18---26

[32]

Wu HC, Wang HC, Tsai CS, Wang CM (2010) Reversible image steganographic scheme via predictive coding. Displays 31:35---43

[33]

Zhang L, Wu X (2006) An edge-guided image interpolation algorithm via directional filtering and data fusion. IEEE Trans Image Process 15(8):2226---2238

Digital Library

Cited By

Hameed MHassaballah MQiao T(2024)IS-DGM: an improved steganography method based on a deep generative model and hyper logistic map encryption via social media networksMultimedia Systems10.1007/s00530-024-01332-w30:3Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s00530-024-01332-w
Liu XZhao BWang W(2023)A robust video steganography algorithm for H.264/AVC based on secret sharingProceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things10.1145/3603781.3603938(900-905)Online publication date: 26-May-2023
https://dl.acm.org/doi/10.1145/3603781.3603938
Wang ZFeng GShen LZhang X(2023)Cover Selection for Steganography Using Image SimilarityIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.318103920:3(2328-2340)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1109/TDSC.2022.3181039
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LSB based non blind predictive edge adaptive image steganography
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Published In

cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 76, Issue 6

March 2017

1495 pages

ISSN:1380-7501

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Copyright © Copyright © 2017 Springer Science+Business Media New York.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 March 2017

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Cited By

Hameed MHassaballah MQiao T(2024)IS-DGM: an improved steganography method based on a deep generative model and hyper logistic map encryption via social media networksMultimedia Systems10.1007/s00530-024-01332-w30:3Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s00530-024-01332-w
Liu XZhao BWang W(2023)A robust video steganography algorithm for H.264/AVC based on secret sharingProceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things10.1145/3603781.3603938(900-905)Online publication date: 26-May-2023
https://dl.acm.org/doi/10.1145/3603781.3603938
Wang ZFeng GShen LZhang X(2023)Cover Selection for Steganography Using Image SimilarityIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.318103920:3(2328-2340)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1109/TDSC.2022.3181039
Setiadi DRustad SAndono PShidik G(2023)Digital image steganography survey and investigation (goal, assessment, method, development, and dataset)Signal Processing10.1016/j.sigpro.2022.108908206:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.sigpro.2022.108908
Rezaei AAhmadiadli YFarzinvash LAsadpour M(2022)Low distortion and adaptive image steganography by enhancing DBSCAN, Sobel operator, and XOR codingJournal of Information Security and Applications10.1016/j.jisa.2022.10334370:COnline publication date: 1-Nov-2022
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Magdy MHosny KGhali NGhoniemy S(2022)Security of medical images for telemedicine: a systematic reviewMultimedia Tools and Applications10.1007/s11042-022-11956-781:18(25101-25145)Online publication date: 1-Jul-2022
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Yeung YLu WXue YChen JLi R(2022)Secure binary image steganography based on LTP distortion minimizationMultimedia Tools and Applications10.1007/s11042-019-7731-078:17(25079-25100)Online publication date: 10-Mar-2022
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Khan A(2021)PCA-DTT 2D-DHCES based attack resilient imperceptible image watermarkingMultimedia Tools and Applications10.1007/s11042-020-10155-680:5(7515-7527)Online publication date: 1-Feb-2021
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Setiadi D(2021)PSNR vs SSIM: imperceptibility quality assessment for image steganographyMultimedia Tools and Applications10.1007/s11042-020-10035-z80:6(8423-8444)Online publication date: 1-Mar-2021
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Laishram DTuithung T(2021)A novel minimal distortion-based edge adaptive image steganography scheme using local complexityMultimedia Tools and Applications10.1007/s11042-020-09519-980:1(831-854)Online publication date: 1-Jan-2021
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