基于像素融合的Curvelet医学超声图像降噪方法

Pixel fusion based curvelet denoise approach for medical ultrasonic images

目的探求基于Curvelet变换的医学超声图像降噪的有效方法。方法分别对超声图像进行curvelet和隐Markov树小波降噪,再采用模糊分区方法对结果图像进行像素融合。结果实现了基于像素融合的Curvelet医学超声图像降噪。结论对超声图像的降噪实例表明该方法有效提高了图像的视觉效果,明显抑制了伪影。

Objective To explore efficient denoise method based on curvelet transfer for medical ultrasonic images. Methods Curvelet denoise method and hidden Markov tree based wavelet method were applied to the ultrasonic images respectively, and fuzzy partition based pixel fusion was applied to the result images. Results A pixel fusion based curvelet denoise approach for medical ultrasonic images was proposed. Conclusion Simulation results of the approach applied to medical ultrasonic images demonstrate that the algorithm improves the visual quality of result images efficiently and suppresses the artifacts in result images evidently.