Daiyrbayeva Elmira, Yerimbetova Aigerim, Nechta Ivan, Merzlyakova Ekaterina, Toigozhinova Ainur, Turganbayev Almas
Institute of Information and Computational Technologies Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan, Almaty 050010, Kazakhstan.
Institute of Automation and Telecommunication, Academy of Logistics and Transport, Almaty 050012, Kazakhstan.
J Imaging. 2022 Oct 19;8(10):288. doi: 10.3390/jimaging8100288.
This article is devoted to the study of the improved neighbor mean interpolation (INMI) steganographic method. To date, no steganalysis of such a method of information embedding has been carried out. We implemented the INMI method of embedding messages in raster files and conducted a stegoanalysis on a set of 800 images of 225 × 225 size. Experimentally, we found that with this embedding method, the maximum container capacity is 21% and that it depends on the contents of the container. It is established that only 60 files out of 800 actually have the maximum capacity. We presented the calculation of the Type I error and the percentage of information detection in the obtained containers by the regular-singular (RS) method. The results showed that the considered steganographic algorithm is resistant to RS steganalysis and is comparable to the stegosystem of the permutation method investigated in one of our previous articles.
本文致力于改进的邻域均值插值（INMI）隐写方法的研究。迄今为止，尚未对这种信息嵌入方法进行隐写分析。我们实现了在光栅文件中嵌入消息的INMI方法，并对一组225×225大小的800张图像进行了隐写分析。通过实验，我们发现采用这种嵌入方法时，最大载体容量为21%，且它取决于载体的内容。经确定，800个文件中只有60个实际具有最大容量。我们给出了通过正则奇异（RS）方法计算得到的载体中I类错误和信息检测百分比。结果表明，所考虑的隐写算法对RS隐写分析具有抗性，并且与我们之前一篇文章中研究的置换方法的隐写系统相当。
