文献类型：期刊文献

英文题名：Embedding color watermarks in color images based on Schur decomposition

作者：Su, Qingtang[1,2];Niu, Yugang[1];Liu, Xianxi[3];Zhu, Yu[1]

机构：[1]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai, Peoples R China;[2]Lu Dong Univ, Sch Informat Sci & Engn, Yantai, Peoples R China;[3]Shandong Agr Univ, Mech & Elect Engn Coll, Tai An, Shandong, Peoples R China

年份：2012

卷号：285

期号：7

起止页码：1792

外文期刊名：OPTICS COMMUNICATIONS

收录：;EI(收录号：20120514725903);WOS:【SCI-EXPANDED(收录号:WOS:000301035400027)】；

基金：The research was partially supported by NNSF from China (61074041, 50803016, 61170161), and the 'Twelve Five-Year' plan major projects supported by National Science and Technology (2011BAD20B01). The author would like to thank anonymous referees for their valuable comments and suggestions which lead to substantial improvements of this paper.

语种：英文

外文关键词：Image watermarking; Color image watermark; Schur decomposition; Blind extraction

摘要：In this paper, a blind dual color image watermarking scheme based on Schur decomposition is introduced. This is the first time to use Schur decomposition to embed color image watermark in color host image, which is different from using the binary image as watermark. By analyzing the 4 x 4 unitary matrix U via Schur decomposition, we can find that there is a strong correlation between the second row first column element and the third row first column element. This property can be explored for embedding watermark and extracting watermark in the blind manner. Since Schur decomposition is an intermediate step in SVD decomposition, the proposed method requires less number of computations. Experimental results show that the proposed scheme is robust against most common attacks including JPEG lossy compression, JPEG 2000 compression, low-pass filtering, cropping, noise addition, blurring, rotation, scaling and sharpening et al. Moreover, the proposed algorithm outperforms the closely related SVD-based algorithm and the spatial-domain algorithm. (C) 2011 Elsevier B.V. All rights reserved.