Steganography Image in Image using Modified method in Least Significant Bit (LSB) substitution
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Abstract
Steganography is the art of hiding and transmitting message through unsuspecting cover in an effort to conceal the existence of message. The aim of this paper is to design and implementation image in image steganography that hide the gray scale into color image, using embedding message in LSB of cover image. In Least Significant Bit (LSB) technique two methods ( Spin method and Look-up Table Method)have been suggested and compared with classical method. The imperceptibility of the stego image is assessed by using the mean square error (MSE) Root Mean Square Error (RMSE) (closeness measure), and peak signal-to-noise ratio (PSNR) measures used, the stego image, under different methods, have excellent quality (PSNR above 60 dB).
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References
– Fabien, A.P.Petitcolas, Ross J. Anderson and Markus G. Kuhn, July 1999, "Information Hiding –A Survey", Proceedings of the IEEE, Secial issue on protection of multimedia content,87(7):1062-1078.
- Brian, Chen and Gregory W. Wornell., May 2001, "Quantization Index Modulation :A Class of Provably Good Methods for Digital Watermarking and Information Embedding ". IEEE Transactions on Information Theory,47(4);1423-1443.
- Ismail Avcibas, Nasir Memon, and Bulent Sankur, February 2003, " Steganalysis Using Image Quality Metrics",IEEE Transaction on Image Processing , 12(2).
- Ahmed H. A., 2002, "Image in Image Steganography using PIFS", M. Sc. thesis submitted in computer Dept. College of Science, Baghdad University.
- Al-jashammi, A. M. H., 2002, " Image Steganography Using Wavelet Transform Techniques ",M.Sc.thesis submitted in Electronics and Communication Engineering Dept. College of Engineering, University of Baghdad .
- N.Johnson and S.Jajodia, 1998, " Steganalysis of images created using current steganography software", Lecture Notes in Computer Science, vol.1525, pp.273-289.
- Gonzalaz, R.C. & Woods , R.E., 2000, (Digital Image Processing ), Pearson Eduction Asia Pte Ltd.