基于小波变换的数字胸片增强

目的 研究一种基于小波变换的数字胸片图像增强新算法.方法 小波分解后,首先利用小波阈值法进行去噪预处理,然后对高频分量采用非线性增强,对低频分量采用反锐化掩模增强方法,通过小波反变换重构出增强后的图像.结果 通过对传统增强方法和本文提出的小波增强新方法进行实验对比,验证了本文算法对数字胸片图像有较好的增强效果.结论 对于分辨力低、噪声干扰严重、光照不均的数字胸片图像,本文提出的基于小波变换的增强新方法可保留图像细节信息,同时有效去除噪声.

Approach on digital chest radiographs enhancement based on wavelet transform

Objective To research a new approach on digital chest radiographs enhancement based on wavelet transform. Methods After wavelet decomposition, the wavelet threshold method was used to remove the noise. Then the nonlinear method was used to modify the high coefficients, the unsharp masking method was used for low coefficient. The enhanced images were obtained with inverse wavelet transform. Results Experiments were carried out on a digital chest radiograph based on several traditional enhancement methods. The results showed that this method had better enhancing effect than traditional approaches. Conclusion The wavelet transform enhancement method is suitable for the digital radiographs, which has weakness with lower contrast and some noises. It can not only retain image detail information, but also remove the noise effectively.