求翻译：梯度均值能很好地描述图像的灰度变化信息、邻域结构信息及目标与背景的对比度信息，能有力抑制高斯噪声，且最大值远小于L－1，可有效缩减求解空间。是什么意思？

The gradient of the mean can be well described by the image intensity changes, neighborhood structure and target and background contrast, potent inhibition of Gaussian noise, and the maximum is much smaller than l-1, and can effectively reduce the solution space.

Gradient value that is a good description of the grayscale image change information, neighborhood information and the target structure and background information, the contrast can be a powerful partner Gaussian noise suppression, and much less than the maximum value L -1, to be effective for reducin

The gradient average value can describe the image gradation change information, the neighborhood structure information and the goal and the background contrast gradient information well, can suppress the Gauss noise powerfully, also the maximum value is smaller than far L-1, but reduces the solution

Gradient can mean well describes the variations of gray image information, neighborhood information and target contrast with background information, can effectively suppress Gaussian noise, and the maximum value is far less than the L-1, can effectively reduce the solution space.

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