Abstract: In order to cope with the blurred phenomena between tissues in medical images，a medical image sharpening algorithm based on fuzzy logic and wavelet transform is proposed in this paper.When enhance detail coefficients of different wavelet composition layers，each pixel is adaptively assigned a different parameter value by evaluating the local feature.Last reconstruct enhanced image by making inverse wavelet transform.Experimental results show that the proposed algorithm can enhance image details while restrain noises.

Key words: sharpening enhancement, fuzzy rules, wavelet transformation

摘要： 针对医学图像组织间不明显现象，提出了一种基于模糊规则和小波变换的医学图像锐化增强算法。对不同尺度的小波系数进行锐化增强时，首先根据该尺度低频系数中心像素与其邻域像素的相容性利用模糊规则自适应计算非线性细节增益系数。然后把增益系数与细节小波系数相乘，小波重建后得到增强图像。实验结果表明，提出的算法对图像细节进行增强的同时能够有效地抑制噪声。

关键词: 锐化增强, 模糊规则, 小波变换