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首页> 外文期刊>International Journal of Image Processing >Determining the Efficient Subband Coefficients of Biorthogonal Wavelet for Gray level Image Watermarking
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Determining the Efficient Subband Coefficients of Biorthogonal Wavelet for Gray level Image Watermarking

机译:确定用于灰度图像水印的双正交小波的有效子带系数

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摘要

In this paper, we propose an invisible blind watermarking scheme for the gray-level images. The cover image is decomposed using the Discrete Wavelet Transform with Biorthogonal wavelet filters and the watermark is embedded into significant coefficients of the transformation. The Biorthogonal wavelet is used because it has the property of perfect reconstruction and smoothness. The proposed scheme embeds a monochrome watermark into a gray-level image. In the embedding process, we use a localized decomposition, means that the second level decomposition is performed on the detail sub-band resulting from the first level decomposition. The image is decomposed into first level and for second level decomposition we consider Horizontal, vertical and diagonal subband separately. From this second level decomposition we take the respective Horizontal, vertical and diagonal coefficients for embedding the watermark. The robustness of the scheme is tested by considering the different types of image processing attacks like blurring, cropping, sharpening, Gaussian filtering and salt and pepper noise effect. The experimental result shows that the embedding watermark into diagonal subband coefficients is robust against different types of attacks.
机译:在本文中,我们为灰度图像提出了一种不可见的盲水印方案。使用具有双正交小波滤波器的离散小波变换分解封面图像,并将水印嵌入到变换的重要系数中。使用双正交小波是因为它具有完美的重构和平滑性。所提出的方案将单色水印嵌入到灰度图像中。在嵌入过程中,我们使用局部分解,这意味着对第一级分解产生的细节子带执行第二级分解。图像被分解为第一级,对于第二级分解,我们分别考虑水平,垂直和对角子带。从第二级分解中,我们采用各自的水平,垂直和对角线系数来嵌入水印。通过考虑不同类型的图像处理攻击(例如模糊,裁剪,锐化,高斯滤波以及盐和胡椒噪声效应)来测试该方案的鲁棒性。实验结果表明,将水印嵌入对角线子带系数对不同类型的攻击具有鲁棒性。

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