Abstract
In this paper, a block based steganographic algorithm is proposed where embedding is done by swapping two pixels within the block such that resulting additive noise can be adaptively controlled by using a prescribed threshold. The proposed algorithm is used to reduce the extra additive noise which is the main drawback of a existing PSSA algorithm [6]. Regarding the steganographic security, the proposed steganographic scheme inherently preserves first order image statistics such as image histogram and thus remains undetectable against any histogram based spatial domain steganalytic attacks. Experimental results show that the proposed adaptive scheme clearly outperforms the PSSA algorithm [6] against additive noise based blind attacks.
Chapter PDF
Similar content being viewed by others
References
Ker, A.D.: Steganalysis of LSB matching in grayscale images. IEEE Signal processing letters 12(6), 441–444 (2005)
Zhang, J., Cox, I.J., Doerr, G.: Steganalysis for LSB Matching in Images with High-frequency Noise. In: Proc. IEEE 9th Workshop on Multimedia Signal Processing MMSP 2007, pp. 385–388 (2007)
Goljan, M., Fridrich, J., Holotyak, T.: New blind steganalysis and its implications. In: Proceedings of SPIE for Security, Steganography, and Watermarking of Multimedia Contents VIII, vol. 6072, pp. 1–13 (2006)
Schaefer, G., Stich, M.: UCID - An Uncompressed Colour Image Database. In: Proc. SPIE, Storage and Retrieval Methods and Applications for Multimedia, vol. 5307, pp. 472–480 (2004)
Solanki, K., Sarkar, A., Manjunath, B.S.: YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis. In: Furon, T., Cayre, F., Doërr, G., Bas, P. (eds.) IH 2007. LNCS, vol. 4567, pp. 16–31. Springer, Heidelberg (2008)
Sur, A., Goel, P., Mukhopadhyay, J.: A Novel Steganographic Algorithm Resisting Targeted Steganalytic Attacks on LSB Matching. In: Kim, H.-J., Katzenbeisser, S., Ho, A.T.S. (eds.) IWDW 2008. LNCS, vol. 5450, pp. 199–208. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sur, A., Goel, P., Mukhopadhyay, J. (2011). Adaptive Pixel Swapping Based Steganography Reducing Embedding Noise. In: Kuznetsov, S.O., Mandal, D.P., Kundu, M.K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2011. Lecture Notes in Computer Science, vol 6744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21786-9_49
Download citation
DOI: https://doi.org/10.1007/978-3-642-21786-9_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21785-2
Online ISBN: 978-3-642-21786-9
eBook Packages: Computer ScienceComputer Science (R0)