LSB匹配采用±1修改模式,以使其LSB与待嵌入比特匹配,增强了隐写的安全性,对于它的检测是当前的热点、难点。提出一种基于图像局部统计一致性的隐写分析算法。偏离度的概念被引出来刻画临域像素的空间相关性,在偏离度直方图上提取了对隐写敏感的特征,并加以优化。实验结果表明:在未压缩高精度图像库上也具有良好的检测效果。
LSB matching steganography embeds information into the LSB of the cover by either adding or subtracting one when the LSB is not equal to the message bit.The security of information hiding is thus improved greatly.A new method concerning LSB matching based on the local stationary characteristics of images is proposed in this paper.Deviation degree is defined to reflect the correlation between the regional pixels.Some sensitive features are extracted from the Deviation Degree Histogram to build a two-class classifier.Experimental results demonstrate that the proposed method is efficient to the LSB matching steganography on uncompressed images and significantly outperforms prior arts.