基于小波变换的医学超声图像去噪方法研究(3)

wavelet image denoising center problems in study, this paper put forward the treatment method of wavelet denoising. In understand about the basic theory of wavelet transform and offered to adapt to the denoising method, first of all the original medical ultrasound images were log conversion, and then choose the suitable wavelet and wavelet

decomposition level of the image to transform wavelet decomposition, then the high frequency coefficients of the threshold quantification, each layer to choose a threshold value the high frequency coefficients are soft threshold processing, finally, using the wavelet reconstruction, get the image denoising and exponential transform to obtain the required image. Experiments show that the wavelet transform in ultrasonic image

denoising has its great advantage.

Key words: ultrasonic imaging, spots noise, wavelet rransfom, threshold