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An effective image steganalysis method based on neighborhood information of pixels

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3 Author(s)
Qingxiao Guan ; National Laboratory of Pattern Recognition, CAS Institute of Automation ; Jing Dong ; Tieniu Tan

This paper focuses on image steganalysis. We use higher order image statistics based on neighborhood information of pixels (NIP) to detect the stego images from original ones. We use subtracting gray values of adjacent pixels to capture neighborhood information, and also make use of “rotation invariant” property to reduce the dimensionality for the whole feature sets. We tested two kinds of NIP feature, the experimental results illustrates that our proposed feature sets are with good performance and even outperform the state-of-art in certain aspect.

Published in:

2011 18th IEEE International Conference on Image Processing

Date of Conference:

11-14 Sept. 2011