基于改进掩模法的自适应图像增强算法

Adaptive Image Enhancement Algorithm Based on Improving Covering Template Method

针对掩模法存在边缘模糊负面效应的问题,提出了一种基于掩模法的新型图像增强算法。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。因此,图像的边缘不再变模糊。实验结果表明,该算法既平滑了图像噪声,又锐化了图像边缘。

A new image enhancement algorithm based on covering template method was problem of blurring of edge contour induced by using the method. 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. So, edge contour of the image will not blur. Experimental results show that the algorithm can reduce image noise and enhance the edge.