A Novel JPEG Steganography Method Based on Modulus Function with Histogram Analysis
نویسندگان
چکیده
In this paper, we present a novel steganographic method for embedding of a secret data in still grayscale JPEG image. In order to provide large capacity of pro– posed method while maintaining good visual quality of stego-image, the embedding process is performed in quan– tized transform coefficients of Discrete Cosine transform (DCT) by modifying coefficients according to modulo function, what gives to the steganography system blind extraction predisposition. After-embedding histograms of proposed Modulo Histogram Fitting (MHF) method is analysed to secure steganography system against stegana– lysis attacks. In addition, AES ciphering was implemented to increase security and improve histogram after-embed– ding characteristics of proposed steganography system as experimental results show.
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