本文提出了一种基于连续子带量化(SSQ)和人类视觉系统(HVS)的小波域自适应数字水印算法。
In this paper, we propose an adaptive digital image watermarking algorithm using successive subband quantization (SSQ) and human visual system (HVS) based on wavelet domain.
这种算法是采用了均值量化的方法，把数字水印嵌入图像的离散小波域，可以检测在空间域和频率域的图像失真。
The watermark was embedded in the wavelet domain using the mean quantization method. This method can be used to detect the distortion both in spatial and frequency domain.
阐述了水印算法的实现过程，提出了一种基于邻近关系的小波域数字图像盲水印算法，该算法在水印检测过程中不需要原始图像。
In this paper, a digital image blind watermarking algorithm is proposed based on neighboring relation in wavelet transform domain which can detect watermarking without using the original image.
目前已出现多种数字水印算法，典型的水印算法有空域算法、变换域算法、小波域算法、超小波域算法等。
There are so many digital watermark algorithms at present. The typical examples are the airspace algorithm, transform domain algorithm, wavelet domain algorithm and beyond wavelets algorithm.
目前已出现多种数字水印算法，典型的水印算法有空域算法、变换域算法、小波域算法、超小波域算法等。
There are so many digital watermark algorithms at present. The typical examples are the airspace algorithm, transform domain algorithm, wavelet domain algorithm and beyond wavelets algorithm.
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