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首页> 外文会议>International Symposium on Computational Intelligence and Design >A DCT-SVD Domain Watermarking for Color Digital Image Based on Compressed Sensing Theory and Chaos Theory
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A DCT-SVD Domain Watermarking for Color Digital Image Based on Compressed Sensing Theory and Chaos Theory

机译：基于压缩感应理论的彩色数字图像和混沌理论的DCT-SVD域水印

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In this paper, it is presented that a new color image watermarking algorithm based on compressed sensing theory and chaos theory in discrete cosine transform (DCT) and singular value decomposition (SVD) domain. Initially, a color watermarking image is preprocessed by four steps i.e. Being divided into red, green and blue channels, being sparse by wavelet transform, scrambling by 1-D chaos sequence and measurement through Gaussian random matrix. Here, the chaos sequence is produced by 1-D Logistic mapping. Then the red, green and blue channel images of a color host image are divided into 8×8 blocks and then transformed by DCT. Next the first DCT coefficient of each block is selected to compose a new matrix, and the new matrix is decomposed by SVD. The singular values are the regions of watermarking embedment. Thirdly, three sets of measured coefficients as new watermarking are embedded into the corresponding singular values. Finally, the Iterative Hard Threshold (IHT) algorithm is used to reconstruct the watermarking image. The method proposed can not only enlarge the information capacity of watermarking embedment but also strengthen the security of watermarking in the condition of the good imperceptibility. The experiments show that the scheme is feasible and has good anti-attack ability for JPEG compression, Gaussian white noise, rotating and median filtering.
机译：本文介绍了一种基于压缩感测理论的新型彩色图像水印算法和在离散余弦变换（DCT）和奇异值分解（SVD）域的混沌理论。最初，彩色水印图像由四个步骤预处理，即被划分为红色，绿色和蓝色通道，通过小波变换稀疏，通过高斯随机矩阵通过1-D混沌序列扰乱和测量。这里，混沌序列由1-D物流映射产生。然后将彩色主机图像的红色，绿色和蓝色通道图像分为8×8块，然后由DCT转换。接下来，选择每个块的第一DCT系数以构成新矩阵，并且通过SVD分解新矩阵。奇异值是水印嵌入的区域。第三，随着新水印的三组测量系数嵌入到相应的奇异值中。最后，使用迭代硬阈值（IHT）算法来重建水印图像。所提出的方法不仅可以扩大水印嵌入的信息能力，而且还加强了在良好的难以察觉中的水印的安全性。实验表明，该方案是可行的，对JPEG压缩，高斯白噪声，旋转和中值过滤具有良好的防攻击能力。

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