Abstract
In this paper, we proposed data hiding method for halftone compressed images based on Ordered dither BTC(block truncation coding) [7]. BTC[9] is a simple and efficient image compression technique. However, it yields images of unacceptable quality and significant blocking effects are seen when the block size used increases. Guo[2] improved the image quality of ODBTC using new algorithm. A halftone image is very sensitive for data hiding, because it is a bitmap image. For this reason, there are a few research related data hiding in a halftone image. Therefore, EMD [6] technique can also be used to embed digital data into the compressed image including BTC. Until now, EMD was never used to halftone image for data hiding. In this paper, we solved this problem and experimental results have indicated that the resulting image quality is better than that of Guo[2]. As a result, we show the new method of data hiding in a halftone image.
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
Preview
Unable to display preview. Download preview PDF.
References
Kite, T.D., Evans, B.L., Bovik, A.C.: Modeling and quality assessment of halftoning by error diffusion. IEEE Trans. Image Processing 9, 909–922 (2000)
Guo, J.-M.: Watermarking in dithered halftone images with embeddable cells selection and inverse halftoning. Signal Processing 88, 1496–1510 (2008)
Pan, J.S., Luo, H., Lu, Z.H.: Look-up Table Based Reversible Data Hiding for Error Diffused Halftone Images. INFORMATICA 18(4), 615–628 (2007)
Tu, S.-F., Hsu, C.-S.: A BTC-based watermarking scheme for digital images. Information & security 15(2), 216–228 (2004)
Tseng, H.W., Chang, C.C.: Hiding data in halftone images. Informatica 16(3), 419–430 (2005)
Zhang, X., Wang, S.: Efficient Steganographic Embedding by Exploiting Modification Direction. Communications Letters, IEEE 10(11), 781–783 (2006)
Bayer, B.: An optimum method for two-level rendition of continuous-tone pictures. IEEE International Conference on Communications 1, 11–15 (1973)
Floyd, R.W., Steinberg, L.: An adaptive algorithm for spatial grey scale. In: Proceedings of the Society of Information Display, vol. 17, pp. 75–77 (1976)
Delp, E., Mitchell, O.: Image Compression Using Block Truncation Coding. IEEE Transactions Communications 27, 1335–1342 (1979)
Niranjan, D.V., Thomas, D.K., Wilson, S.G., Brian, L.E., Alan, C.B.: Image Quality Assessment Based on a Degradation Model. IEEE Transactions on image processing 9(4) (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kim, C. (2010). Data Hiding Based on Compressed Dithering Images. In: Nguyen, N.T., Katarzyniak, R., Chen, SM. (eds) Advances in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12090-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-12090-9_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12089-3
Online ISBN: 978-3-642-12090-9
eBook Packages: EngineeringEngineering (R0)