资源类型：
文章类型：
机构：
[a]School of Biomedical Engineering, Capital Medical University, Beijing, China
[b]Xuan Wu Hospital, Capital Medical University, China
首都医科大学宣武医院
ISSN：
关键词：
Curvelet translation
image de-noise
Monte-Carlo
PSNR
摘要：
In this paper, we proposed a CT image denoising approach. This method combines Curvelet transformation with Monte-Carlo algorithm, firstly CT image's Curvelet decomposition is processed. Secondly, Monte-Carlo algorithm is used to estimate high frequency coefficients. Finally, the coefficients are shrunk according to threshold function. The results show proposed approach can obtain better visual effect and de-noise effect. © 2011 Springer-Verlag Berlin Heidelberg.
第一作者：
推荐引用方式(GB/T 7714)：
Deng J,Li H,Wu H.A CT image denoise method using Curvelet transform[J].2011,100 LNEE(VOL. 4):doi:10.1007/978-3-642-21762-3_89.
APA：
Deng, J,Li, H&Wu, H.(2011).A CT image denoise method using Curvelet transform.,100 LNEE,(VOL. 4)
MLA：
Deng, J,et al."A CT image denoise method using Curvelet transform". 100 LNEE..VOL. 4(2011)
