为了减小传统的反锐化掩模算法对噪声的敏感性，提出了一种新的反锐化掩模图像

增强算法，该算法在图像的平坦区域进行去噪处理，并依据人眼视觉特性对图像的不同细节

区域做不同程度的增强。通过几种算法的实验结果比较，表明本算法不仅增强效果较好，且

抑制了噪声的增强。-In order to reduce the traditional unsharp masking algorithm sensitivity to noise, a new Unsharp Masking image enhancement algorithm in image denoising, flat region to deal with, and based on human visual characteristics details on the different image regions enhanced to varying degrees do. Algorithm in several experimental results, indicating that not only enhance the effectiveness of this algorithm is better, and enhanced noise suppression.