摘要： 在评估图像隐写算法安全性及隐写分析性能时，隐写嵌入率等参数是重要的评价指标，而图像纹理差异对评价的影响很容易被忽略。为此，基于图像高维统计模型，提出一种新的针对隐写应用的图像纹理复杂度度量方法，用于衡量图像间的纹理差异。根据纹理复杂度对图像进行分类，单独在每一类不同纹理复杂度的图像集上评估隐写分析的检测性能。实验结果表明，该方法能有效地评价隐写的安 全性。

关键词: 纹理复杂度, 图像像素相关性, 隐写测评, 隐写分析性能, 隐写安全, 信息隐藏

Abstract: The steganographic payload is a well-known metric to evaluate the security of steganography and performance of steganalysis, while the impact of image texture diversity on steganography is usually ignored. This paper presents a new metric of image texture complexity based on the high dimensional image statistical model to measure the texture difference of images. Extensive experiments are conducted to make comparison of the detection performance under different embedding rates and image complexities. Experimental results indicate that the proposed method can be effectively used to evaluate the security of steganography.

Key words: texture complexity, image pixel correlation, steganography evaluation, steganalysis performance, steganography security, informa- tion hiding

中图分类号: 

• TP391.41