Filter bank selection for the ownership verification of wavelet based digital image watermarking

Min-Jen Tsai
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引用次数: 8

Abstract

Wavelet transform has been widely used in many signal processing applications. Advanced researches have intensively investigated the characteristics of wavelet filters, adaptive wavelet decomposition structure for coding optimization and different combination of mathematical operations for digital image watermarking implementations. Among these studies, there are researches shown that the combination of wavelet filters or filter bank decomposition structure can be implemented as the function of the keys for the watermarking. Even this property provides the flexibility for practical usage, the false alarm of the rightful ownership verification is essentially existed since the resolution requirement for the transformed coefficients can be less demanded than other applications like compression or encryption. Therefore, this study has investigated and discussed the issues and proposed a solution which utilizes the distinguishing index as the selection criterion for wavelet based digital image watermarking in order to increase the difficulty of guessing the right filter banks, in the mean time, to reduce the probability of the misjudgment.
基于小波的数字图像水印所有权验证的滤波器组选择
小波变换在许多信号处理中得到了广泛的应用。深入研究了小波滤波器的特性、用于编码优化的自适应小波分解结构以及用于数字图像水印实现的不同数学运算组合。在这些研究中,有研究表明,小波滤波器组合或滤波器组分解结构可以作为水印密钥的功能来实现。尽管此属性为实际使用提供了灵活性,但合法所有权验证的错误警报本质上是存在的,因为对转换系数的分辨率要求可能比压缩或加密等其他应用程序的要求要低。因此,本研究对这些问题进行了研究和讨论,提出了一种利用识别指标作为小波数字图像水印的选择标准的解决方案,以增加猜测正确滤波器组的难度,同时降低误判的概率。
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