Steganalysis for LSB Matching by Counting Image Blocks with the Same Gray Level

摘要：

The steganalysis for the least significant bit (LSB) matching is a hot and difficult topic. Some bit plane/s might be changed during the LSB matching steganograpy. Huang et al. proposed a method based on the differences in the least two bit planes of an image and the results show good performance to uncompressed images. In this paper, we make some improvements by introducing Median Filter and sum image. The Median Filter, which is effective to remove random noise in an image, is useful for decreasing the noise brought by embedding based on the additive noise steganography model. The sum image is the same as a low-pass filter to an image in some degree. With Median Filter and sum image together, the influence to a stego image is more than a cover image so the differences can be used for discriminating. Extensive experimental results show that the new detectors in our improved method perform better than the old ones, especially to uncompressed images.

关键词： LSB matching steganalysis gray level Median Filter sum image

作者: Zhao Y.R. Ping X.J. Wang R. Zheng E.G.

作者单位: Zhengzhou Information Science and Technology Institute, Zhengzhou, Henan, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1845-1848

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）