对近似图像进行分水岭分割，并且用小波逆变换把原始分割结果逐步映射回更高的分辨率层。

Then, watershed segmentation of the approximation image is computed, and the inverse wavelet transform is used to project this original segmentation up to the higher resolutions.

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最后，进行小波逆变换，得到含有水印信息的虚拟图像，根据虚拟图像中的象素值就可以得到一组新的控制顶点坐标。

Finally, the marked virtual images are gotten with inverse wavelet transform and a new group of control points is obtained based on the pixel value of the virtual image.

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利用小波变换理论首先将谐波图像与基波图像进行分解，然后利用基于窗口的融合规则进行融合，最后利用小波逆变换重建图像。

The harmonic image and fundamental image are decomposed into sub-images with wavelet transform. Fusion is completed with rules based on Windows. Then fusion image is reconstructed.

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利用小波变换理论首先将谐波图像与基波图像进行分解，然后利用基于窗口的融合规则进行融合，最后利用小波逆变换重建图像。

The harmonic image and fundamental image are decomposed into sub-images with wavelet transform. Fusion is completed with rules based on Windows. Then fusion image is reconstructed.

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