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DOI: 10.14569/IJACSA.2013.040836
PDF

A Novel Steganography Method for Hiding BW Images into Gray Bitmap Images via k-Modulus Method

Author 1: Firas A. Jassim

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 8, 2013.

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Abstract: This paper is to create a pragmatic steganographic implementation to hide black and white image which is known as stego image inside another gray bitmap image that known as cover image. First of all, the proposed technique uses k-Modulus Method (K-MM) to convert all pixels within the cover image into multiples of positive integer named k. Since the black and white images can be represented using binary representation, i.e. 0 or 1. Then, in this article, the suitable value for the positive integer k is two. Therefore, each pixel inside the cover image is divisible by two and this produces a reminder which is either 0 or 1. Subsequently, the black and white representation of the stego image could be hidden inside the cover image. The ocular differences between the cover image before and after adding the stego image are insignificant. The experimental results show that the PSNR values for the cover image are very high with very small Mean Square Error.

Keywords: Image steganography, Information hiding, Security, k-Modulus Method.

Firas A. Jassim, “A Novel Steganography Method for Hiding BW Images into Gray Bitmap Images via k-Modulus Method” International Journal of Advanced Computer Science and Applications(IJACSA), 4(8), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040836

@article{Jassim2013,
title = {A Novel Steganography Method for Hiding BW Images into Gray Bitmap Images via k-Modulus Method},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040836},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040836},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {8},
author = {Firas A. Jassim}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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