Image steganography based on odd/even pixels distribution scheme and two parameters random function

Presently, the evolution massive of the internet gives more attention, play important role in the field of communication, and transfer messages. Nowadays, hiding sensitive or secret information inside trusted media such image without being noticed by the intruder is more needed because of the privac...

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Bibliographic Details
Main Authors: M. M., Hashim, M. S., Mohd. Rahim
Format: Article
Language:English
Published: Asian Research Publishing Network 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/81331/1/MohammedMahdiHashim2017_ImageSteganographyBasedonOddEvenPixels.pdf
http://eprints.utm.my/id/eprint/81331/
http://www.jatit.org/volumes/Vol95No22/2Vol95No22.pdf
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Institution: Universiti Teknologi Malaysia
Language: English
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Summary:Presently, the evolution massive of the internet gives more attention, play important role in the field of communication, and transfer messages. Nowadays, hiding sensitive or secret information inside trusted media such image without being noticed by the intruder is more needed because of the privacy cases, this method called steganography. In this paper, a method of hiding secret data in an image based on odd/even pixels distribution scheme and two parameters random function have introduced. The objective of this study is to increase the imperceptibility of proposed method with a high payload capacity of secret message. Two main process are used in the proposed method, which are embedding process and extracting process. Huffman coding technique is utilize to compress the secret message before embedding process. The security and capacity of the proposed method will increase after preparation secret message. The main objective of proposed scheme is to increase image quality (PSNR) in stego image. Two main things make the method effective: first, checking matching of secret bits with LSB and mapping to determine even and odd word during embedding, and second, segmenting the secret message to track and map every bit in stego image. Experimental results of the proposed method can achieve a high imperceptibility and robustness was emphasized.