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Image Steganography Technique By Using Braille Method of Blind People (LSBraille)
Abdelmgeid Amin Ali, Al-Hussien Seddik Saad
Pages - 81 - 89     |    Revised - 15-01-2013     |    Published - 28-02-2013
Published in International Journal of Image Processing (IJIP)
Volume - 7   Issue - 1    |    Publication Date - February 2013  Table of Contents
MORE INFORMATION
References   |   Cited By (4)   |   Abstracting & Indexing
KEYWORDS
Steganography, Peak Signal-to-Noise Ratio (PSNR), Least Significant Bit (LSB).
ABSTRACT
Steganography is the art and science of writing hidden messages in such a way that no one, apart from the sender and intended recipient, suspects the existence of the message, a form of security through obscurity. Steganography is a Greek origin word which means “hidden writing”. Steganography word is classified into two parts: steganos which means “secret or covered” (where you want to hide the secret messages) and the graphic which means “writing” (text). It can be defined as the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular. In this paper, a new image steganography method is proposed. The proposed method hides the secret message inside the cover image by representing the secret message characters using Braille method of reading and writing for blind people that can save more than one-fourth of the required space for embedding. From the experimental results it is seen that the proposed method achieves higher visual quality as indicated by the high peak signal-to-noise ratio (PSNR) in spite of hiding a large number of secret bits in the image.
CITED BY (4)  
1 Jain, M., & Lenka, S. K. (2016). A Review of Digital Image Steganography using LSB and LSB Array. International Journal of Applied Engineering Research, 11(3), 1820-1824.
2 Emam, M. M., Aly, A. A., & Omara, F. A. (2015). A Modified Image Steganography Method based on LSB Technique. International Journal of Computer Applications, 125(5).
3 Ali, A. A., Abdellateef, B. A., & Seddik, A. H. (2014). Enhancing the Security of SMMWB Image Steganography Technique by using the Linked List structure (Cover Package Method). International Journal of Computer Applications, 90(7).
4 Ali, A. A., Hussien, A., & Saad, S. (2013). Enhancing SMM Image Steganography Method by using LSBraille Image Steganography Method (SMMWB; Secret Message Matching With Braille). writing, 1, 3.
ABSTRACTING & INDEXING
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
REFERENCES
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A. H. Seddik. "Enhancing The (MSLDIP) Image Steganographic Method (ESLDIP Method)". International Conference on Graphic and Image Processing, Proc. of SPIE 8285(3I). ©SPIE 2011.
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Braille Authority of the United Kingdom. "British Braille". Royal National Institute of the Blind. Bakewell Road. Orton Southgate, Peterborough, Cambridgeshire, 2004.
C. Simpson. "The Rules of Unified English Braille". Round Table on Information Access for People with Print Disabilities Inc, Australia, Version I: June 2010.
N. Jain, S. Meshram and S. Dubey. "Image Steganography Using LSB and Edge –Detection Technique". International Journal of Soft Computing and Engineering (IJSCE)ISSN: 2231-2307, 2(3), Jul. 2012.
R. Ibrahim and T. S. Kuan. "Steganography Imaging System (SIS): Hiding Secret Message Inside An Image". Proceedings of the World Congress on Engineering and Computer Science, WCECS 2010, San Francisco, USA, Vol. (I), Oct 20-22, 2010.
S. Chutani and H. Goyal. "LSB Embedding In Spatial Domain - A Review Of Improved Techniques". International Journal of Computers & Technology, ISSN: 2277-3061, 3(1),Aug. 2012.
S. Singh and G. Agarwal. "Hiding Image To Video: A New Approach Of LSB Replacement".International Journal of Engineering Science and Technology, 2(12), pp 6999-7003, 2010.
UNESCO. "World Braille Usage". National library service for the blind and handicapped,library of congress, Washington, D.C, USA, 1990.
V. K. SHARMA and V. SHRIVASTAVA. "A Steganography Algorithm For Hiding Image In Image By Improved LSB Substitution By Minimize Detection". Journal of Theoretical and Applied Information Technology. 36(1). 15th Feb, 2012.
MANUSCRIPT AUTHORS
Associate Professor Abdelmgeid Amin Ali
Faculty of Science, Al- Minia University - Egypt
Abdelmgeid@yahoo.com
Mr. Al-Hussien Seddik Saad
High Institute for Engineering and Technology, (H.I.E.T) - Egypt


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