The image watermark scheme based on Scale Invariant feature Transform (SIFT) feature is proposed for resisting geometric attacks.
提出一种利用尺度不变特征变换(SIFT)特征点实现对抗几何攻击的水印方案。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
The main methods adopted include:1) watermark synchronization is achieved by invariant local circular regions which can be generated using image locally most stable feature points;
采取的主要方法有：1）利用图像中的局部最稳定特征点生成具有几何不变性的圆形特征区域，用于水印的同步；
Just because the orthogonal fractal decoding is a mean-invariant iteration, the watermark can be embedded into the fractal decoding parameters directly.
利用正交化分形解码参数在迭代过程中的不变性，使水印直接嵌入解码参数，从而实现了灰度水印嵌入。
Just because the orthogonal fractal decoding is a mean-invariant iteration, the watermark can be embedded into the fractal decoding parameters directly.
利用正交化分形解码参数在迭代过程中的不变性，使水印直接嵌入解码参数，从而实现了灰度水印嵌入。
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