Digital watermarking of spectral images using DWT-SVD

被引：2

作者：

Ma, Long ^{[1
]}

Li, Changjun ^{[2
]}

Song, Shuni ^{[3
]}

机构：

[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Peoples R China

[2] Univ Leeds, Dept Colour & Polymer Chem, Leeds, W Yorkshire, England

[3] Northeastern Univ, Sch Sci, Shenyang, Peoples R China

来源：

2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年

关键词：

D O I：

10.1109/ICCCAS.2006.284576

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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 3D-SPIHT compression.

引用

页码：15 / +

页数：2

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