Abstract
This paper focus on a change in the plain Least Significant Bit based image/picture steganography and implementation of it. The paper asserts the utilization of bit reversal method to enhance the quality of stego-picture. The bit reversal methods that are proposed and implemented based on 2 schemes. In these strategies, least significant bits of a few picture elements of cover picture are rearranged if they happen with a particular pattern of a few bits of the picture elements. Along these lines, less number of picture elements is adjusted in contrast with plain least significant bit strategy. So PSNR of stego-picture is moved forward. In order to obtain correct de-steganography, the bit designs for which least significant bits has modified should be put away inside the stego-picture some place. The proposed bit reversal procedure gives great change to least significant bit steganography. This strategy could be joined along different strategies to enhance effective steganography further.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cheddad, J., Condell, K.C., Kevitt, P.: Digital image steganography-survey and analysis of current methods. Sig. Process. 90, 727–752 (2010)
Chang, C.C., Tseng, H.W.: Data hiding in images by hybrid LSB substitution. In: 2009 Third International Conference on Multimedia and Ubiquitous Engineering, MUE’09. IEEE, 2009
Wang, R.Z., Lin, C.F., Lin, J.C.: Image hiding by optimal LSB substitution and genetic algorithm. Pattern Recogn. 34(3), 671–683 (2001)
Zayed, H.H.: A high-hiding capacity technique for hiding data in images based on K-bit LSB substitution. In: The 30th International Conference on Artifical Intelligence (2005)
Akhtar, N., Johri, P., Khan, S.: Enhancing the security and quality of LSB based image steganography. In: IEEE lnternational Conference on Computational Intelligence and Computer Networks (CICN), pp. 27–29 (2013)
Kessler, C.: Steganography: hiding data within data. An edited version of this paper with the title “Hiding Data in Data”. Windows & NET Magazine (2001). http://www.garykessler.netllibrary/steganography.btml
Fridrich, J., Goljan, M.: Practical steganalysis of digital images: state of the art. In: Electronic Imaging 2002. lnternational Society for Optics and Photonics (2002)
Fridricb, J., Goljan, M., Du, R.: Detecting LSB steganograpby in color and gray images. In: Magazine of EEE Multimedia (Special Issue on Security), pp. 22–28, Oct–Nov 2001
Dumitrescu, S., Wu, X., Wang, Z.: Detection of LSB steganography via sample pair analysis, vol. 2578, pp. 355–372. Springer LNCS (2003)
Thien, C.C., Lin, J.C.: A simple and high-hiding capacity method for hiding digit-by digit data in images based on modulus function. Pattern Recogn. 36, 2875–2881 (2003)
Wu, NI., Hwang, M.S.: Data hiding: current status and key issues. IJ Netw. Secur. (4)1, 1–9 (2007)
Chandramouli, R., Memon, N.: Analysis of LSB based image steganography techniques. In: IEEE, pp. 1019–1022 (2001)
Cox, I., et al.: Digital watermarking and steganography. Morgan Kaufmann (2007)
The USC-SIPI image database. http://sipi.usc.eduldatabase
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Maurya, I., Gupta, S.K. (2020). Inverted LSB Image Steganography. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_3
Download citation
DOI: https://doi.org/10.1007/978-981-15-0751-9_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0750-2
Online ISBN: 978-981-15-0751-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)