基于DWT-DCT-SVD的彩色图像零水印算法
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  • 英文篇名:Zero-watermarking Algorithm for Color Image Based on DWT-DCT-SVD
  • 作者:江泽涛 ; 陈微
  • 英文作者:JIANG Ze-tao;CHEN Wei;School of Computer & Engineering,Guilin University of Electronic Technology;
  • 关键词:彩色图像 ; 零水印 ; DWT ; DCT ; SVD
  • 英文关键词:color image;;zero-watermarking;;DWT;;DCT;;SVD
  • 中文刊名:WXYJ
  • 英文刊名:Microelectronics & Computer
  • 机构:桂林电子科技大学计算机科学与工程学院;
  • 出版日期:2016-08-05
  • 出版单位:微电子学与计算机
  • 年:2016
  • 期:v.33;No.387
  • 基金:国家自然科学基金项目(61272216);; 图像图形智能处理重点实验研究课题(LD14129X)
  • 语种:中文;
  • 页:WXYJ201608023
  • 页数:5
  • CN:08
  • ISSN:61-1123/TN
  • 分类号:113-117
摘要
针对数字水印算法中由于对原始图像数据进行修改而导致水印不可见性和鲁棒性之间出现的矛盾,提出一种基于DWT-DCT-SVD的彩色图像零水印算法.将宿主彩色图像从RGB颜色空间转换到YCbCr颜色空间,然后对亮度分量(Y)进行一层离散小波变换(DWT),取其低频子带进行分块离散余弦变换(DCT),并且对每个分块进行奇异值分解,使分解得到的奇异值作为图像的特征来构造零水印;利用图像的奇异值具有较强的稳定性,对几何失真具有不变性,结合零水印的思想,可以有效地解决水印不可见性和鲁棒性之间的矛盾;水印提取不需要原始图像参与,具有盲检测性.实验结果表明,该算法对常见信号处理,如剪切、中值滤波、椒盐噪声、JPEG压缩等具有较强的鲁棒性.
        Aiming at the conflicts between invisibility and robustness for the digital watermarking algorithm by modified the data of the original image,a zero-watermark algorithm is proposed for color image based on DWT,DCT and SVD.First,the method is to switched the host image from RGB color space to YCbCr space.Then,by using a layer of discrete wavelet transforms to the luminance Y of the color image,and divided the low frequency band into blocks by using discrete cosine transform,and conducted SVD with every block to generated the zerowatermark by the decomposition of the singular values as the characteristics of the image.Finally,the conflicts between invisibility and robustness of the watermarking is better solved to combined with the idea of zero-watermark by the strong stability of singular values about image to resist geometric distortion.And the process of extracted the embedded watermark without the original image to achieved a blind detection.Experiments show that the proposed algorithm has strong robustness to against familiar signal processing method,such as cuting,median filtering,salt and pepper noise and JPEG compression.
引文
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