Abstract

A new steganalytic technique based on the difference image histogram aimed at LSB steganography is proposed. Translation coefficients between difference image histograms are defined as a measure of the weak correlation between the least significant bit (LSB) plane and the remaining bit planes, and then used to construct a classifier to discriminate the stego-image from the carrier-image. The algorithm can not only detect the existence of hidden messages embedded using sequential or random LSB replacement in images reliably, but also estimate the amount of hidden messages exactly. Experimental results show that for raw lossless compressed images the new algorithm has a better performance than the RS analysis method and improves the computation speed significantly.

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