QQ客服 官方微博 反馈留言

	An improve denoising algorithm based on multi-scale dyadic wavelet transform - art. no. 61446G
	Qi, Zhihua ; Zhang, Li ; Xing, Yuxiang ; Gao, Hewel
	2010-05-10 ; 2010-05-10
会议名称	Medical Imaging 2006: Image Processing, Pts 1-3 ; Medical Imaging 2006 Conference ; San Diego, CA ; Web of Science ; INSPEC
关键词	multi-resolution and wavelets x-ray and CT image denoising dyadic wavelet transform multi-scale detection wiener filtering SINGULARITY DETECTION Computer Science, Interdisciplinary Applications Imaging Science & Photographic Technology Radiology, Nuclear Medicine & Medical Imaging
中文摘要	The presence of random noise in a CT system degrades the quality of CT images and therefore poses great difficulty to following tasks, such as segmentation and signal identification. In this paper, an efficient denoising algorithm is proposed to improve the quality of CT images. This algorithm mainly consists of three steps: (1) According to the interscale relationship of wavelet coefficient magnitude sum in the cone of influence (COI), wavelet coefficients are classified into two categories: edge-related and regular coefficients and irregular coefficients; (2) For edge-related and regular coefficients, only those located at the lowest decomposition level are denoised by wiener filtering, while no changes are made on coefficients located at other decomposition levels. (3) Irregular coefficients are denoised at all levels by wiener filtering. This algorithm is performed on projection data from which CT images are reconstructed. Experimental results show that: (1) It can effectively reduce the noise intensity while preserving the information of details as much as possible; (2) It is independent of CT scanning geometry and thus applicable to various CT systems. The denoising results indicate that this algorithm can offer great help to follow-up analysis based on CT images.
会议录出版者	SPIE-INT SOC OPTICAL ENGINEERING ; BELLINGHAM ; 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/18669]
专题	清华大学
推荐引用方式 GB/T 7714	Qi, Zhihua,Zhang, Li,Xing, Yuxiang,et al. An improve denoising algorithm based on multi-scale dyadic wavelet transform - art. no. 61446G[C]. 见:Medical Imaging 2006: Image Processing, Pts 1-3, Medical Imaging 2006 Conference, San Diego, CA, Web of Science, INSPEC.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。