A Steganographic Method Based on Self-organizing Map and HVS

摘要：

In order to provide large capacity of hidden secret data and imperceptibility of stego-image, in this paper, a novel image steganographic method based on self-organizing map and HVS was presented. According to contrast and texture sensitivity, self-organizing map based on competitive learning is trained. So NNs trained is the key of the embedded and extracted secret data. The method exploits neighboring pixels(upper, left, right, bottom) to estimate the degree of sensitivity of pixels with NNs trained so that pixels in less sensitive areas can potentially carry more hidden data. From the experimental results, compared with SOC, the proposed method can hide a much larger information and maintains a better visual quality of stego-image.

作者: Jiajia Zhang Huixian Huang Chenhao Wang Hongbin Pan

作者单位: The College of Information and Engineering, Xiangtan University, Hunan, P.R.China

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 36-39

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）