文献类型：期刊文献

英文题名：A blind color image watermarking based on DC component in the spatial domain

作者：Su, Qingtang[1,2];Niu, Yugang[2];Wang, Qingjun[1];Sheng, Guorui[1]

机构：[1]Lu Dong Univ, Sch Informat Sci & Engn, Yantai 264025, Peoples R China;[2]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2013

卷号：124

期号：23

起止页码：6255

外文期刊名：OPTIK

收录：;EI(收录号：20134216847415);WOS:【SCI-EXPANDED(收录号:WOS:000327904800074)】；

基金：The research was partially supported by NNSF from China (61074041), and the 'Twelve Five-Year' plan major projects supported by National Science and Technology (2011BAD20B01) and the Plan Project of Shandong Province Science and Technology Development Committee (2011YD01079). 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; Direct current coefficient; Spatial domain; Discrete cosine transform; Color image

摘要：Color image watermarking has become essential and important copyright protection or authentication scheme. It is noted that most of the existing color image watermarking algorithms are performed only in the single domain (spatial domain or frequency domain), and not to integrate these merits of the different domains. By utilizing the generating principle and distribution feature of the direct current (DC) coefficient, a novel blind watermarking algorithm is proposed for color host images in this paper. Firstly, the Y luminance of host image is divided into 8 x 8 sub-blocks and the DC coefficients of each block are directly calculated in the spatial domain without DCT transform. Secondly, according to the watermark information and the quantization step, the DC coefficients are calculated and their increments are further utilized to modify directly the values of all pixels in the spatial domain instead of the DCT domain to embed watermark. When watermark extraction, only the watermarked image and the quantization step are needed in the spatial domain. Experimental results show that the proposed method not only can resist both traditional signal processing attacks and geometric attacks, but also has more efficient in computational complexity. Comparisons also demonstrate the advantages of the method. (C) 2013 Elsevier GmbH. All rights reserved.