Improved Ultrasonic Image De-noising Algorithm

摘要：

De-noising characteristics of soft threshold, semisoft threshold, hard threshold and noise statistical nature in wavelet transform are analyzed; Based on this a new Denoising algorithm of medical ultrasonic image based on wavelet transform is proposed. Towards borderline blur of soft threshold algorithm,linear operation is carried out to wavelet coefficients according to maximum of wavelet coefficients in each sub-band,meanwhile,high frequency wavelet coefficients bulge of semi-soft threshold algorithm is improved. Experimental results show that the detail information is reserved well while speckle noises are efficiently removed. Also the whole visual efl.ect is improved.

关键词： wavelet transform medical ultrasonic image threshold de-noising noise statistical nature

作者: Lingling Jiang

作者单位: Department of Electrical Engineering Vocational and Technical Institute for Anhui Industry and Trade Huainan, China

会议类型: 国际会议

会议名称: The 10th International Conference on Intelligent Technologies(第十届智慧科技国际会议 InTech09)

会议地点: 桂林

会议语种:英文

页码: 521-523

在线出版日期: 2009-12-12（万方平台首次上网日期，不代表论文的发表时间）