基于小波变换的医学超声图像去噪及增强方法

目的探求一种基于小波变换的医学超声图像去噪及增强方法。方法提出了一种基于小波分析理论的医学超声图像噪声的综合抑制方法,首先对医学超声图像进行对数变换,将乘性噪声变成加性噪声;然后进行多尺度小波变换,将图像分解成一系列不同尺度上的小波系数,对变换后不同尺度的高频子图像进行非线性小波软阈值处理,阈值处理后的高频子图像进行增强;最后,经小波逆变换和指数变换恢复去噪后图像。结果原图像中斑纹噪声被有效去除,图像边缘细节得以保留。结论该方法可有效保留细节信号,极大限度地去除斑纹噪声。

A method of medical ultrasonic image denoising and enhancement based on wavelet transform

Objective A method of medical ultrasonic images denoising and enhancement based on wavelet transform is explored. Methods A integrated speckle suppression method for medical ultrasound image based on wavelet transform was presented. Firstly, logarithmic transform was carried out to the medical ultrasound image. Multiplicative noises were transformed into additive ones. Secondly, the image was decomposed into low frequency and high frequency sub-band images by wavelet transform. Nonlinear soft threshold denoising and enhancement were carried out to the multiscale high frequency sub-band images. Finally, the inverse wavelet transform and the exponential transform were processed. Results The speckle noises in the original image were removed efficiently and the image edge details were reserved. Conclusion The method is efficiently to denoising speckle noises and reserving edge details in medical ultrasonic image.