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this paper, we present a Novel method to detect the existence of hidden message in LSB steganography. The key element of the proposed method is the power Law: Zipf's law.The detection theory is based on statistical analysis of pixel patterns using a Zipfness measure between successive bit planes. The basic idea is that, the correlation between bit planes as well as the binary texture characteristics within the bit planes will differ between a stego image and a cover image. The seventh and eighth bit planes, and possibly others, are used to calculate the Zipf Quality (ZQ) measure. The proposed technique does not need a reference image and it works with spatial transform-domain embedding. The method is similar to steganalysis in (12); it exploits Binary Similarity measures of images to reveal the presence of steganographic content.

A Novel Technique of Steganalysis in Uncompressed Image through Zipf&apos;s Law

A Novel Technique of Steganalysis in Uncompressed Image through Zipf's Law