一种改进的动脉CT图像去噪方法

Research on an Improved De-Noising Method for Artery CT Images

针对常用医学图像去噪方法中存在去除噪声不全面、图像清晰度损失的缺点,提出一种改进型的方法.根据Brige-Massart惩罚策略,由图像自身噪声确定每层阈值,根据控制变量法确定其他的相关因素.结合图像去噪目的与去噪效果,根据计算机断层扫描(CT)图像动脉区域的灰度值特点,对阈值进行硬阈值化处理.最后,对图像进行仿真对比实验,实验结果显示:中值小波去噪的峰值信噪比(RPSN),标准信噪比(RSN)与均方差(EMS)数值都优于其他去噪方法.

Because of other common medical image de-noising methods are not comprehensive in the process of image de-noising.It damages the image′s definition,so this paper came up with a modified median wavelet de-noising method to de-noise.Used the Brige-Massart penalty policy and combined with the image itself noise to determine each layer threshold.Other variables are introduced by the control variable method in the process of de-noising.Combined with the Purpose and effect of image de-noising,the threshold did hard threshold processing based on computed tomography（CT）image grey value characteristics of artery territory.Lastly,through experiments,it is concluded that the RPSN,RSNand EMS of the improved de-noising method are superior to other methods.