Abstract
Steganography is the science of hiding data into innocuous objects such that the existence of the hidden data remains imperceptible to an adversary. To obtain larger embedding capacity and imperceptible stegoimages, this paper proposes a new image steganography using wavelet contrast and modulus operation based on the visual characteristics that human are not sensitive to rapid change area and dark area. The method exploits the wavelet contrast value of image block to estimate how many bits will be embedded into the image block, and embeds secrete data by way of modulus operation. Our experimental results show that the proposed approach provides both larger embedding capacity and higher image quality.
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
References
Chan, C.K., Cheng, L.: Hiding data in images by simple LSB substitution. Pattern Recogn. 37(3), 469–474 (2004)
Devi, M., Sharma, N.: Improved detection of least significant bit steganography algorithms in color and gray scale images. In: 2014 Recent Advances in Engineering and Computational Sciences (RAECS), pp. 1–5. IEEE (2014)
Chutani, S., Goyal, H.: LSB embedding in spatial domain - a review of improved techniques. Int. J. Comput. Appl. 3(1), 153–157 (2012)
Kawaguchi, E, Eason, R.O.: Principles and applications of BPCS steganography. In: Photonics East (ISAM, VVDC, IEMB). International Society for Optics and Photonics, pp. 464–473 (1999)
Zhang, X., Wang, S.: Steganography using multiple2base notational system and human vision sensitivity. IEEE Signal Process. Lett. 12(1), 67–70 (2005)
Ramani, G.M.K., Prasad, E.V., Varadarajan, S.: Steganography using BPCS to the integer wavelet transformed image. IJCSNS 7(7), 293–302 (2007)
Zhang, X., Wang, S.: Efficient steganographic embedding by exploiting modification direction. IEEE Commun. Lett. 10(11), 781–783 (2006)
Qinan, L.: Secure steganography algorithm based on side match and modular function. Acta Electronica Sinca 40(10), 2002–2008 (2012)
Toet, A., van Ruyven, J.J., Velaton, J.: Merging thermal and visual images by a contrast pyramid. Opt. Eng. 28(7), 789–792 (1989)
Yang, Z., Mao, S., Chen, W.: New image fusion algorithm based on wavelet contrast. Syst. Eng. Electron. 27(2), 209–211 (2005)
Pu, T., Ni, G.: Contrast-based image fusion using the discrete wavelet transform. Opt. Eng. 39(8), 2075–2082 (2000)
Liu, J., Kang, Z.W., He, Y.: A steganographic method based on wavelet contrast and LSB. Acta Electronica Sinica 35(7), 1391–1393 (2007)
Wei, W.Y.: A new steganography based on wavelet contrast and LSB. Comput. Eng. Appl. 46(2), 154–155 (2010)
Acknowledgments
This work is supported by the National Natural Science Foundation of China (71471148), the National Natural Science Foundation of Gansu Province (1506RJZA130).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Wei, W., Wen, Y. (2016). A Novel Image Steganography Using Wavelet Contrast and Modulus Operation. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_37
Download citation
DOI: https://doi.org/10.1007/978-3-319-42294-7_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42293-0
Online ISBN: 978-3-319-42294-7
eBook Packages: Computer ScienceComputer Science (R0)