The noises of image is effectively suppressed by restricted Laplacian sharpening algorithm. The edges of image after processing are distinct and the details are deserved.
受限拉氏锐化算法有效地控制了图像的噪声，使处理后的图像边缘更加清晰，又保护了图像的细节。
The experimental results of the advanced Laplacian sharpening algorithm and the common Laplacian sharpening algorithm are compared.
对普通拉氏锐化算法和受限拉氏锐化算法的处理效果进行比较。
The algorithm can measure discontinuity of gray values by using Laplacian and adjust automatically gray values according to intensity of response to gray mutation in Laplacian.
该算法利用拉普拉斯微分算子对像素灰度值的不连续性进行量化，根据微分算子对灰度突变的响应强度进行自动调整掩模内的各像素权值。
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