Steganalysis of LSB matching for Images with High Noise

Abstract

This paper proposed a new steganalysis method against least significant bit (LSB) matching for images with high noise component which is considered more difficult for steganalysis than images with low noise component. First we calculate the sum of curvature of images histogram as discriminative feature which will reduce after LSB matching. Then, the… (More)

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Cite this paper

@inproceedings{Tian2011SteganalysisOL, title={Steganalysis of LSB matching for Images with High Noise}, author={Qinglong Tian and Ronghui Wu and Zhihua Xia and Zhili Zhou and Yan Jiang}, year={2011} }