An Efficient VQ-based Data Hiding Scheme Using Voronoi Clustering

摘要：

In this paper, we propose a vector quantization (VQ) -based information hiding scheme that cluster the VQ codeowrds according the codewords’ relation on Voronoi Diagram (VD). The clustering method is fast and easy to implement when projecting the codewords into VD space. The hiding capacities can be adaptive adjusted just modifying the threshold value which didn’t need reorganizing the codebook sequence. Besides, the image quality is acceptable when raising the embedding capacity. Experiments demonstrate that the method can efficiently hiding the secret data into VQ indexes by the fast hiding procedure, high hiding capacity and good image quality.

关键词： data hiding Voronoi diagram vector quantization

作者: Ming-Ni Wu Puu-An Juang Yu-Chiang Li

作者单位: Dept. of Information Management, National Taichung Institute of Technology, Taichung, Taiwan, ROC Dept. of Electrical Engineering, National Chung-Hsing University, Taichung, Taiwan, ROC Dept. of Computer Science and Information Engineering, Southern Taiwan University, Tainan, Taiwan, R

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）