基于小波的医学图像自适应增强

提出了一种对图像进行增强的方法，该方法的特点是，单独地处理小波系数，并且分析小波相邻各层之间的相关性，作为判断噪声的依据，然后利用这些信息对图像进行增强．实验结果表明，这种小波增强方法可以减小噪声的放大，能够在增强图像微小细节和避免放大噪声两方面获得令人满意的结果．医学图像往往同时具有低对比度和较高噪声，因此本文提出的方法正适用于这类图像．

Wavelet based adaptive enhancement for medical image

Medical images often exhibit poor contrast along with relatively high noise level. How to enhance this kind of images to extract weak signal is the emphases in this paper.The approach developed in this paper processes wavelet coefficients individually and analyzes the correlation between wavelet layers, which provides the evidence of noise, and this information can be used to enhance image. Experiment results indicate that the approach of wavelet enhancement in this paper can reduce the amplification of noise and achieve an excellent balance between the enhancement of subtle image detail and the avoidance of noise amplification.