基于顶帽变换的反锐化掩膜算法

Unsharp masking algorithm based on top-hat transform

针对传统反锐化掩膜算法对噪声敏感,不能较好地同时增强对比度和细节的问题,提出一种基于顶帽变换的反锐化掩膜算法。通过形态学中的顶帽变换增强图像的对比度,利用迭代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。由于图像中某些局部细节信息和人类视觉系统具有模糊性,采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。实验结果表明,该算法在整体对比度增强的同时凸显了图像的细节信息,产生了较好的视觉效果。

For traditional unsharp masking is sensitive to noise and cannot be good to enhance the contrast and detail at the same time, an unsbarp masking based on the top-hat transform is proposed. Firstly, the contrast of the image is enhanced by the top hat transform of morphology, and secondly, the difference between the iterative median filtering and the original image is used to obtain details of the image. Finally, adaptive adjustment parameter is used to control the detail sharpening. Because some local details of the image and the human visual system is fuzzy, unsharp masking uses fuzzy mathematical operator instead of the ordi nary to do addition and subtraction and scalar-multiplication. Experimental results show that the algorithm enhances the overall contrast and highlights the details of the image and produces a better visual effect.