基于改进中值滤波的反锐化掩膜算法

Unsharp Masking Algorithm Based on Improved Median Filter

为了克服传统的反锐化掩模技术的缺点,减小伪像对于处理效果的影响。在图像预处理方面,将改进中值滤波和反锐化掩膜算法结合起来,利用改进中值滤波与原图像的差值获取图像的细节信息,采用自适应调节参数控制细节锐化,再利用模糊数学算子代替普通的加减和数乘进行反锐化掩膜运算,解决图像中局部细节信息的模糊性。最后,利用客观评价参数对处理结果进行了仿真分析,通过与其他算法的对比,表明该改进算法能够凸显图像的细节信息,提高整体的对比度,并且能够有效抑制噪声。

In order to overcome the shortcomings of the traditional unsharp masking technology and reduce the influence of artifacts on the processing effect,the traditional unsharp masking idea is proposed.In the aspect of image preprocessing,the improved median filter and unsharp masking algorithm are combined.The difference between the improved median filter and the original image is used to obtain the detail information of the image.The adaptive parameter adjustment is used to control the detail sharpening.Then the fuzzy mathematical operator is used to remove the blur of the local detail information in the image.Finally,the objective evaluation parameters are used to simulate the processing results.The comparison with other algorithms shows that the improved algorithm can highlight the details of the image,improve the overall contrast,and can effectively suppress noise.