北京生物医学工程2012，Vol.31Issue(3)：245-250,6.DOI:10.3969/j.issn.1002-3208.2012.03.06
基于RCSCT变换的DR图像去噪及加速
DR image de-noising and acceleration based on recursive cycle pinning contourlet transformation
林芳宇 1罗海 1周荷琴1
作者信息
- 1. 中国科学技术大学信息科学技术学院,合肥,230027
- 折叠
摘要
Abstract
Objective The influence of Gaussian noise on digital radiography( DR )image is great,and the removal of Gaussian noise is beneficial to the image quality and clinical diagnosis. Methods To suppress Gaussian noise of DR image,this paper first decomposes DR image based on recursive cycle spinning Contourlet transform( RCSCT )that combines recursive cycle spinning and Contourlet transform, then adopts continuous binary soft threshold function to process the transformed coefficients,which can prevent coefficients over killed, and subsequently accelerates the de-noising method based on compute unified device architecture ( CUD A ) platform. Results The experimental results show that the suggested method can obtain higher PSNR value, inhibit Gibbs-like phenomena, and preserve more image details with shorter time-consuming after acceleration. Conclusions The proposed method based on RCSCT is better than wavelet transform and Contourlet transform in practicability, time consuming and preservation of visual information.关键词
DR图像去噪/Contourlet变换/递归循环平移/计算统一设备架构Key words
DR image de-noising/ Contourlet transform/ recursive cycle spinning/ compute unified device architecture分类
医药卫生引用本文复制引用
林芳宇,罗海,周荷琴..基于RCSCT变换的DR图像去噪及加速[J].北京生物医学工程,2012,31(3):245-250,6.
