Digital Watermarking of Spectral Images Using DWT-SVD

摘要：

A watermarking method based on Discrete Wavelet transform (DWT) and Singular Value Decomposition (SVD) is presented for spectral images. After decomposing the spectral image with three-dimensional wavelet transform, we apply the SVD to each band of transformed spectral image, and embed the watermark by modifying the singular value. After modification the image is reconstructed, thus containing the watermark. The experiments indicate that the watermark is robust against the attacks, such as median filtering, mean filtering and 3DSPIHT compression.

作者: Long Ma Changjun Li Shuni Song

作者单位: School of Information Science & Engineering Northeastern University, Shenyang, China Department of Colour & Polymer Chemistry Leeds University, Leeds, UK School of Science Northeastern University, Shenyang, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 15-18

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）