JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 4    Issue : 7    Date : July 2009

Detection of LSB Matching Steganography using the Envelope of Histogram
Jun Zhang, Yuping Hu, and Zhibin Yuan
Page(s): 646-653
Full Text:
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Abstract
As well-known, it is hard to detect LSB matching steganography when cover images are scans of
photographs, which usually have high-frequency noise. This paper proposes a novel steganalysis
method for this issue by making use of the following two facts: One is the local maxima of an image
histogram decrease and the local minima increase after LSB matching steganography. As a result,
the area between upper envelope and lower envelope of the histogram of a stego image will be
smaller than that of a cover image. The other is LSB matching embedding in the spatial domain of
an image corresponds to low-pass filtering of the histogram. So, there are some differences in the
high order statistical moments of high frequencies of the histogram. Based on these facts, this
paper constructs a novel feature vector to distinguish between stego and cover images.
Experimental results show the proposed scheme has better performance than some
state-of-the-art steganalyzers in the literature.

Index Terms
Steganalysis, LSB matching, Image