一种改进的基于马尔科夫链的扩频图像隐写分析方法

摘要

We propose an algorithm for steganalysis of images based on spread-spectrum data hiding. We employ Markov chains and a combination of threshold method and improved pattern recognition method, and we can discriminate whether an image contains hiding data through detecting the relativity of correlated pixels of the image. Results of the experiments on Corel' s image library show that this algorithm reduces the false alarm rate and increases the precision rate.%提出一种对基于扩频信息隐藏图像进行隐写分析的方法.应用马尔科夫链模型,根据图像的相邻像素点之间的相关性,结合阈值判别方法和改进的模式识别方法,判断一幅图像中是否存在隐写信息.在Corel图像库上的实验表明,本方法降低了虚警率,且正检率的性能优于已有方法.