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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, , Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(4): 359-363 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.185

A Novel Image Steganography in Contourletdomain Using Genetic Algorithm

H. Ramezani, F. Keynia, and F. Ramezani
Abstract—Steganography is the science that involves communicating secret data in an appropriate multimedia carrier. This paper presents the application of contourlet Transform and Genetic Algorithm (GA) in a novel steganography scheme. We employ a genetic algorithm based mapping function to embed data in Discrete contourlet Transform coefficients in 4x4blocks on the cover image. The optimal pixel adjustment process (OPAP) is applied after embedding the message. GA employed to obtain an optimal mapping function to lessen the error difference between the cover and the stego image and use the block mapping method to preserve the local image properties. Also we applied the OPAP to increase the hiding capacity of the algorithm in comparison with other systems. According to the experimental results, the proposed method is capable of providing a larger embedding capacity without causing noticeable distortions of stego-images in comparison with similar existing methods. Moreover the results of our experiments show that employing two of powerful steganalyzers on stego-images produced by our method, they could not discriminate between stego and clean-images reliably.

Index Terms—Steganography, discrete contourlet transform, genetic algorithm, optimal pixel adjustment process.

F. H. Ramezani is with the Department of Computer Engineering at Science and Research branch Islamic Azad University, Kerman, Iran (email: hadiseramezani@yahoo.com).
C. F. Keynia is with the Department of Electrical Engineering, Semnan University, Molavi, Semnan 35195-363, Iran (e-mail: keynia@yahoo.com).
T. F. Ramezani is with the Department of Electrical Engineering, Yazd university, Yazd, Iran (e-mail: fereshte.ramezani@gmail.com).

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Cite: H. Ramezani, F. Keynia, and F. Ramezani, "A Novel Image Steganography in Contourletdomain Using Genetic Algorithm," International Journal of Future Computer and Communication vol. 2, no. 4 pp. 359-363, 2013.
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