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Multi-band Wavelet Based Digital Watermarking Using Principal Component Analysis

机译:基于多带小波的数字水印,使用主成分分析

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This paper presents a novel watermarking scheme based on multi-band wavelet. Different from many other watermarking schemes, in which the watermark detection threshold is chosen empirically, the false positive rate of the proposed watermarking scheme can be calculated analytically so that watermark detection threshold can be chosen based solely on the targeted false positive. Compared with conventional watermarking schemes implemented in two-band wavelet domain, by incorporating the principal component analysis (PCA) technique the proposed blind watermarking in the multi-band wavelet domain can achieve higher perceptual transparency and stronger robustness. Specifically, the developed watermarking scheme can successfully resist common signal processing such as JPEG compression with quality factor as low as 15, and some geometric distortions such as cropping (cropped by 50%). In addition, the proposed multi-band wavelet based watermarking scheme can be parameterized, thus resulting in more security. That is, an attacker may not be able to detect the embedded watermark if the attacker does not know the parameter.
机译:本文介绍了一种基于多频带小波的新型水印方案。从许多其它加水印方案,其中,所述水印检测阈值凭经验选择不同,所提出的水印方案的假阳性率可以通过分析,使得水印检测阈值可以仅仅基于目标假阳性来选择计算。在两波段小波域中实现,通过将主成分分析(PCA)技术所提出的盲水印在多频带小波域可以达到更高的感知透明性和更强的鲁棒性常规水印方案相比。具体地,开发的水印方案可以成功地抵抗诸如JPEG压缩的公共信号处理,质量因数低至15,以及一些几何失真,例如裁剪(裁剪50%)。另外,可以参数化的所提出的多频带小波的水印方案,从而导致更安全。也就是说,如果攻击者不知道参数,攻击者可能无法检测到嵌入式水印。

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