In a word, the method of this paper is an efficient edge detection algorithm for detecting edges from noised image.
总之，该算法能有效地从噪声图像中检测出边缘。
The traditional way is to obtain the sub-image by sampling the noised image in spatial or frequency domain, then calculate its variance to replace that of the original noise.
传统方法是通过空域或频域采样，得到该子噪声图像，然后直接对其估计方差，它对图像信息的分布有要求。
Variance estimation is a common problem in noised image processing. The basic idea is to get a sub-image that includes only "pure" noise to estimate the variance of original noise.
噪声的方差估计是含噪图像处理中的常见问题之一，其基本思想是通过某种方法寻找含噪图像中的“纯”噪声子图像来估计原噪声方差。
The adaptive weighting operator is applied to the every point on the noised image, at the same time, it's window size and the corresponding output pixel value adaptively vary with the image area.
该算法针对噪声图像上每一点，应用自适应加权算子，对于不同的图像区域，算子自适应地进行窗口大小和输出像素值的改变。
The adaptive weighting operator is applied to the every point on the noised image, at the same time, it's window size and the corresponding output pixel value adaptively vary with the image area.
该算法针对噪声图像上每一点，应用自适应加权算子，对于不同的图像区域，算子自适应地进行窗口大小和输出像素值的改变。
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