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Robust Adaptive Watermarking Based on Image Contents Using Wavelet Technique

机译:基于小波技术的图像内容鲁棒自适应水印

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摘要

A good watermarking scheme should be able to perform equally well on all types of images irrespective of image contents because practically watermarking has to be applied to images of all types. In this paper, it is shown that in wavelet based spread spectrum technique, watermarking at level 1 decomposition is better for textured images while watermarking at level 2 decomposition is better for non-textured images to achieve maximum robustness against various types of attacks. The proposed wavelet decomposition level selection algorithm utilizes the edge histogram to classify the host image as textured or non-textured image and automatically selects the level of decomposition for robust watermarking. The use of Spread Spectrum watermarking technique and Bior6.8 wavelet, results better robustness. Performance of the proposed scheme and its relative effectiveness is demonstrated on both categories of images under different attacks.
机译:良好的水印方案应该能够在所有类型的图像上均具有相同的性能,而与图像内容无关,因为实际上必须将水印应用于所有类型的图像。本文表明,在基于小波的扩频技术中,针对纹理图像,级别1分解的水印对纹理图像更好,而针对非纹理图像,级别2分解的水印更好,以实现针对各种类型攻击的最大鲁棒性。提出的小波分解级别选择算法利用边缘直方图将主图像分类为带纹理的图像或非带纹理的图像,并自动选择分解级别以实现鲁棒的水印。使用扩频水印技术和Bior6.8小波,可获得更好的鲁棒性。该方案的性能及其相对有效性在不同攻击下的两类图像上都得到了证明。

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