基于小波变换的混合作用域医学图像增强算法

医学图像对比度低,细节不清晰,要对其进行增强处理才能满足临床诊断的需要,而目前常用的小波增强算法自适应性差,丢失细节,为此提出了一种基于dbN小波变换的混合作用域医学图像增强算法,该算法结合Sobel算子提取的边缘,经过滤波变换,得到原图像的锐化图像,再采用能够扩展其灰度范围的幂次变换,实现图像增强。该算法通过实例验证,与常用的分段小波增强算法比较,自适应性强,增强后的图像细节丰富,具有良好的视觉效果。

Medical Image Enhancing Arithmetic Based on Wavelet Transform in Multi-scope

To enhance medical image to improve its visual quality ,an enhancement algorithm for medical image was proposed based on wavelet transform in multi-scope, it combines with Sobel operators to get the image detection. Then we can get the sharp image through filter. As to the sharp image, we can get the enhanced image through the power transform which can enlarge the gray scope.Experiments on the arithmetic and compare with the ordinary wavelet enhancement show that the method can strengthen the non-sensitive parts in image effectively.