A Self-Adaptive De-Noising Algorithm of Medical Ultrasound Image
Based on Power Transformation
WANG Shaobo1, LIANG Zhen2
1. Department of Equipment, Anqing Hospital, Anhui Medical University, Anqing Anhui 246003, China;
2. College Of Biomedical Engineering, Anhui Medical University, Hefei Anhui 230032, China
Abstract:Objective To explore a de-noising algorithm which can effectively reduce noise and be very good retention highfrequency
detail of medical ultrasonic image. Methods An adaptive ultrasonic medical image denoising algorithm based on power
transformation was proposed, which was mainly used to transform the power of wavelet coefficients larger than the threshold value,
so that the processed wavelet coefficients could be as close as possible to the original wavelet coefficients, and the continuity of
wavelet coefficients could be well preserved. Results The experimental results showed that the power transformation outperformed
the soft-threshold algorithm in root mean square error (RMSE) and vision effect when the noises variances were small. Conclusion
This algorithm effectively realizes adaptive suppression of speckle noise in ultrasonic medical image. When the noise is small, it can
remove the noise well and retain the high frequency detail information.
王绍波1,梁振2. 基于幂次变换的自适应超声医学图像去噪算法[J]. 中国医疗设备, 2019, 34(2): 76-79.
WANG Shaobo1, LIANG Zhen2. A Self-Adaptive De-Noising Algorithm of Medical Ultrasound Image
Based on Power Transformation. China Medical Devices, 2019, 34(2): 76-79.